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Location: 14881 Quorum Drive Suite 850, Dallas, TX 75254 SUMMARY: The Senior Client Manager/ Team Lead works with and supports Producers, Client Advocates, Client Executives and the account team to manage client service delivery throughout the insurance renewal and policy period on an assigned book of business largely comprised of Charter Schools. The role is client facing and team focused, using professional skills in commercial property and casualty insurance to enhance and expand large and complex client relationships. This position is a senior, client-facing role responsible for directly supporting Property & Casualty Insurance client relationship management efforts. The position supports and coordinates service activity and is a key member of the client service team, responsible for delivery of the program-level strategy and providing consultation to clients. This position mentors a client service team through continuous learning, transparent feedback, and strong talent development. Working directly with the team to assist in setting individual and team goals aligned with the sales and growth strategy, service platform execution, continual process improvement, proactively identifying and meeting client needs, enabling retention and growth of a defined book of business from a client service perspective. Location:  This role requires a hybrid work schedule out of either our Dallas, Austin or Houston offices, 3 days a week in office. QUALIFICATIONS: You will find EPIC to be a fast-paced and fun environment and a workplace in which you truly can make a difference. Creativity and independent thinking is valued throughout our organization. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. ESSENTIAL DUTIES AND RESPONSIBILITIES: Client Management: Serve as the primary expert resource and first point of contact for clients, handling questions on risk management, coverage, contractual issues, and compliance specific to the Charter School industry. Analyze client data, conduct market comparisons, strategize around coverage and exclusions, and negotiate premiums and commission rates. Provide marketing and new business development support, including preparing presentations and proposals, and participating in and/or conducting meetings with clients and/or prospective clients. Delegate office administrative work and oversee tasks. Service Delivery: Establish and maintain primary business relationships with clients, developing comprehensive customer service plans. Consistently establish and maintain high levels of trust and confidence with clients through periodic unscheduled contact and prompt resolution of client questions and issues. Analyze client and market data to prepare insurance renewal options, meet with clients to strategize, and advise on best alternatives. Negotiate with carriers on clients’ behalf for best available premiums, commissions, and coverage. Maintain expert knowledge and provide clients with up-to-date information on insurance, market trends, and legislation. Work with claims advocates to ensure client needs are satisfied throughout the claims process. Marketing and Business Development: Prepare renewal specifications for presentation to carriers, including analysis of claims, changes in client operations, and recommended renewal pricing. Conduct renewal presentations as part of a team. Develop strong relationships with business partners, including underwriters, brokers, and other professional service providers. Personal and Organizational Development: Set priorities and manage workflow to ensure all goals are met. Maintain cordial and effective relationships with clients, co-workers, carriers, vendors, and other business contacts. Document correspondence and activity in agency management systems. Interact effectively with others, utilizing good communication skills and providing information and guidance as needed. Stay informed regarding industry information, new product/program developments, coverages, legislation, and technology to continuously improve knowledge and performance. SUPERVISORY RESPONSIBILITIES: Supervise Client Manager and Assistant Client Manager position(s). QUALIFICATIONS : High school diploma or G.E.D. equivalent required; college degree preferred. Five or more years of experience in mid-size brokerage or independent agency. Proficiency in Microsoft Office applications, especially Excel. Ability to work in a fast-paced environment and handle multiple tasks. High level of interpersonal skills for handling sensitive and confidential situations. Valid State Property and Casualty License and State Driver’s License required. Excellent negotiation skills and in-depth knowledge of the insurance business. Strong leadership skills with experience in delegation, coaching, and mentoring. Proficiency in Sagitta and ImageRight preferred. Strong aptitude for interpreting coverage forms, contractual agreements, and financial statements. Highly motivated with a strong work ethic and ability to work independently. Project and team management experience preferred. Insurance industry designations preferred (CIC, CRM, CPCU). Experience with complex shared/layered programs preferred. PHYSIICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and ability to adjust focus. Ability to travel independently to clients; some air travel may be required. WORK ENVIRONMENT and ENVIRONMENTAL CONDITIONS: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. There is no or very limited exposure to physical risk. Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in San Francisco and founded in 2007, our company has over 3,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! WHY EPIC: EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Cancer Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . #LI-LL1 #LI-Hybrid

Location: San Francisco, CA ABOUT COLUMN For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve. At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us! THE OPPORTUNITY We're hiring a strategic deals person to own high-value relationship development and deal execution across Column's most important partnerships. You'll drive the full commercial cycle — from identifying and qualifying strategic accounts to structuring and closing agreements with companies building financial products on Column's API infrastructure. Working closely with leadership and the broader Business team, you'll develop a deep understanding of each prospect's product roadmap and articulate Column's value proposition and differentiation at every stage of the deal. Success looks like a portfolio of trusted, long-term partnerships and a consistent track record of closing complex, high-impact deals. We win on speed and expertise. If you move fast, love becoming an expert, and are able to build relationships and influence quickly, this opportunity might be for you. This role reports to the Head of Sales & Partnerships and is based in San Francisco or remote, with ~50% travel expected, always dependent on deal needs. WHAT YOU’LL DO: DEAL EXECUTION - Run the full sales cycle: discovery, scoping, negotiation, and close across complex, multi-stakeholder organizations. - Navigate procurement, compliance, legal, and technical stakeholders simultaneously; proactively identify and overcome blockers before they stall deals. - Partner with Solutions Engineering, Legal, Risk, and Compliance to structure solutions that address novel customer use cases. MARKET & PRODUCT EXPERTISE - Develop deep fluency in Column's API suite and how it applies across financial services use cases; position yourself as a credible thought partner for prospects' Product and Compliance teams. - Maintain a strong pulse on market dynamics, competitive positioning, and regulatory developments affecting Column's target customers. PIPELINE DEVELOPMENT - Build and maintain account plans with clear milestones, stakeholder maps, and commercial targets. - Source and qualify new opportunities through outbound prospecting, industry relationships, and market intelligence — you're building pipeline, not waiting for it. TEAM & PLAYBOOK BUILDING - Contribute to the development of Column's sales playbook — deal structures, qualification frameworks, and processes that the broader team can learn from and build on. - Operate in accordance with safe and sound business practices and applicable regulatory requirements. WHAT YOU’LL NEED TO BE SUCCESSFUL: - 8+ years in strategic partnerships, business development, strategic accounts sales, or a commercial-adjacent function, including investors or capital markets professionals who have spent meaningful time sourcing, evaluating, and closing complex deals with sophisticated counterparties. - Proven ability to run structured, autonomous deal cycles from pipeline generation through close - Demonstrated ability to navigate large, multi-stakeholder organizations: you know how to find the decision maker and move deals forward when the path isn't obvious - Subject matter credibility in your space — prospects and partners seek out your perspective - High agency and a builder's orientation: you're comfortable operating without a fully defined playbook and contribute to building one as you go. You take ownership and adapt on the fly. - Competitive, curious, and coachable — you solicit feedback, iterate quickly, and hold yourself to a higher standard than anyone else would - (nice to have) Direct experience selling into or partnering with financial services companies; familiarity with embedded finance, APIs, or regulated product environments strongly preferred A note on fit: This role is built for someone who enjoys betting on themselves. This isn't SaaS, a relationship management role or an inbound motion. If your sales motion has been straightforward, your pipeline has historically been handed to you, or you're looking to maintain accounts rather than build them, this won't be a fit. WHAT YOU’LL GET FROM US: - 🏥 Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents! - 🐣 Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses - 🏡 Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column’s office - 💳 FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses - 📈 401k plan, including self-directed brokerage options - 🌴 Flexible time-off policy - take the time off that you want and need to relax and recharge - 🧳 Sabbatical Program - reach your 5-year anniversary to take up to 8 weeks of fully paid leave to rest, recharge, and pursue personal interest - with full salary and benefits - 👶 100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers - 😇 Up to $4,500 in annual reimbursements for backup childcare - 🍽️ Catered lunches and dinners for SF employees - 🚆 Commuter benefits - 🎉 Regular team building events, including annual offsite PAY TRANSPARENCY The annual OTE range for this position is $200,000 - $325,000 + equity. The range provided is the role’s On Target Earnings ("OTE") range, which is inclusive of base salary and incentive compensation. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers. WE LOOK FORWARD TO HEARING FROM YOU Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com. We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts. We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you. Responsibilities: Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high-quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities You may be a good fit if you: Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non-technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast-paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high-quality data Strong candidates may also have: Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows Background working with research teams at AI companies or research-oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We’re looking for a Corporate Counsel to work closely with our Managing Counsel to support corporate matters, including, securities, governance, and M&A and strategic transactions. This is also an opportunity to work with the Managing Counsel to support a broader portfolio as a generalist in areas such as: international, employment, real estate/workplace, and risk management/insurance. You’ll be a member of the Legal team and collaborate with cross‑functional partners, including Finance, People, Workplace, and senior leadership, and outside counsel where needed, exercising sound judgment, crisp communication, and a practical, business‑forward approach. 🧠  You will... Support securities and public‑company workstreams, including periodic and current reporting, proxy statement/annual meeting preparation, Section 16 matters, and disclosure processes. Counsel on policies and procedures relating to securities law compliance and disclosure matters; support the administration of Duolingo’s Insider Trading Policy Advise on corporate governance, related policies and approvals, board materials, and subsidiary management; maintain templates, processes and playbooks to keep operations efficient and compliant. Support executive compensation, equity compensation, and incentive compensation plan matters. Provide guidance on international operations. Partner on corporate development strategy and help support mergers and acquisitions, joint ventures, partnerships, investments, and other complex corporate transactions. Serve as a legal partner to People on recruiting and hiring practices, policies and handbooks, accommodations, investigations, performance/separations, and employment documents (offers, confidentiality/IP, consulting/contractor agreements). Support real estate and workplace matters, including office leases, amendments, construction and services agreements, vendor MSAs/SOWs, and facilities operations issues. Draft, review, and negotiate a range of commercial agreements related to the above areas; create and iterate templates and checklists that increase speed and consistency. Monitor and synthesize relevant legal and regulatory developments (e.g., SEC, exchange rules, wage/hour, pay transparency, workplace safety), and translate them into practical guidance and training for stakeholders. Manage outside counsel efficiently, set clear scopes and budgets, and drive toward timely, high‑quality outcomes. Support other matters based on interest and business need. ✅  You have... J.D. (or international equivalent) and active bar membership in good standing. 2+ years of relevant legal experience, preferably in a fast-paced environment, with direct exposure to public company securities, corporate governance and corporate transactions. Strong contract drafting and negotiation skills; ability to balance risk, speed, and business impact with clear, actionable guidance under tight timelines. Clear, concise communicator who can explain complex topics to non‑lawyers and build trust with senior stakeholders. Proven ability to prioritize, create effective processes, and keep cross‑functional partners unblocked in a fast‑moving environment. Ability to work from our Pittsburgh, PA office. ⭐  Exceptional candidates will have... Strong interest in Duolingo and its mission. Hands‑on experience running ’34 Act reporting cycles, proxy statement preparation processes, annual stockholder meetings, Section 16 and insider trading matters, and disclosure-related workflows. Experience supporting board/committee governance and preparing high‑quality materials and minutes. Experience counseling on and managing international matters. Experience building templates/playbooks and delivering brief stakeholder trainings. Experience drafting, negotiating, and advising on commercial contracts. Exposure to employment and real estate matters. Interest and experience in leveraging AI tools and technology to drive legal practice. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $153,000 — $207,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Tokyo Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Own full-cycle recruiting for go-to-market and corporate roles, creating a positive experience for candidates, interviewers, and Hiring Managers - Partner closely with Sales and Corporate leaders to build role profiles, set hiring priorities, and understand the talent market for each function - Create and run sourcing strategies across multiple channels for active and passive candidates, including competitive Sales talent from SaaS and enterprise tech companies and specialist talent for corporate functions - Assess candidates for function-specific skills, such as quota attainment, deal size, and sales motion for Sales roles - Track and analyze recruiting metrics, and report to Hiring Managers and Sierra leadership on a regular cadence WHAT YOU'LL BRING - 5-8+ years of full-cycle recruiting experience at a high-growth tech company. Early-stage startup experience preferred - Proven success hiring and closing across business functions, including GTM, operations, and corporate roles, including outbound sourcing and closing senior candidates - A strong network and good market knowledge of Sales talent in Japan (enterprise SaaS AEs, sales leadership) - Ability to build strong relationships with hiring managers and interview teams across functions - Strong written and spoken English and Japanese EVEN BETTER... - Experience with Ashby ATS - Experience hiring a Japan go-to-market team for a global or US-headquartered tech company OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks. This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you. Key Responsibilities Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis Work closely with product and design teams to scope, prototype, and ship features for life sciences users Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement Minimum Qualifications Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures) A track record of shipping computational tools or pipelines that biologists actually use Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment Able to work independently while collaborating tightly with research, product, and domain-expert teams Results-oriented with a bias toward rapid iteration and measurable impact Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards Preferred Qualifications 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.) Experience building agentic systems or tool-use environments Published research in ML for biology, or open-source contributions to computational biology tools Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's customers renew on a mix of committed and consumption contracts, and the number of renewals is growing faster than any team of people could keep pace with. We don't want to answer that by hiring hundreds of renewal managers. We want renewals to run as a system: Claude and agents do most of the work, from spotting risk to drafting the offer to closing a standard renewal in product, and people step in where judgment, negotiation or relationships matter. You'll design, build and run that system. You'll own the renewal outcome for the business globally and the product and technology that delivers it. You'll lead a small team of builders and the human layer, internal specialists and outsourced partners, that handles what agents can't yet. You'll work closely with Sales, Customer Success, Deal Desk, Finance, Billing and Product Engineering. This is a Claude-first role. You'll use Claude every day to do your own work, and the renewal function will be one of the clearest examples inside Anthropic of what AI-run operations look like. What you'll own in your first year The design of the renewal system: which work agents run end to end, which work goes to a person, and the handoff rules between them. A standard renewal that needs no person: a Claude-generated offer in product ahead of term end, accepted and provisioned automatically, with anything outside guidance routed to a seller with a recommended quote. The data the system runs on: contract, commit burndown and usage data clean enough that agents and people trust it, built with Billing and Finance. Early-warning signals for consumption risk and commitment shortfall, and what happens when one fires. The human layer: how internal specialists, outsourced partners and account teams work around the agents, and the measures they're held to. The next large renewal cycles, run with fewer manual steps per renewal than today. Weekly renewal and retention forecasts grounded in usage and contract data. Executive renewal conversations on the largest and most complex accounts, alongside account teams. You may be a good fit if you have Owned renewal, retention or post-sale outcomes at large scale, either running the function or leading the product or service that runs it for others. Led product or engineering teams and shipped software or agents that took over work people used to do. Run or designed a blended model of people, outsourced partners and software, and know where each one breaks. A working grasp of renewal economics: committed and consumption contracts, discount guidance, and the term, billing and CRM data behind them. Built things yourself recently. You can prototype with Claude, read the data and pressure-test an agent's output without waiting on someone else. Set direction with senior executives and held cross-functional teams to it without direct authority. Strong candidates may also have Usage-based pricing and commit burndown experience. Built health, churn or early-warning models that changed what teams did. Worked at a company whose product runs renewals, retention or quote-to-cash for its customers. Worked across regions, including marketplace or cloud-partner billing. Written or spoken publicly about agent-led customer operations. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. THE ROLE We’re hiring a Senior Dealmaker to shape and lead AI partnerships for Walrus, Mysten Labs’ decentralized storage network, across the ecosystem. As AI agents take on more complex work, they need infrastructure that helps them retain context, handle sensitive information, and maintain a trustworthy record of their actions. With Walrus as the foundation for decentralized storage and persistent memory, we’re building toward that future with a broader stack that includes confidential compute—supporting product reliability and compliance as agents operate in the real world. Your job is to determine where Walrus and these complementary capabilities can create the greatest value, build relationships with the right partners, and structure agreements that lead to meaningful integrations and adoption. You’ll focus on foundation model companies, AI platforms, data platforms, and adjacent infrastructure providers. Working closely with the Head of Partnerships and Walrus product and engineering leadership, you’ll help set partnership priorities and independently lead complex opportunities from initial thesis through implementation. This is a senior individual contributor role with substantial ownership, requiring strategic judgment, commercial creativity, and hands-on execution. WHAT YOU’LL DO - Shape our AI partnership strategy. Develop a clear perspective on where Walrus can become essential infrastructure for AI applications and agents. Identify the partners, use cases, and market developments that should guide our investment of time and resources. - Originate consequential partnerships. Build relationships with founders, executives, and technical decision-makers at foundation model companies, AI platforms, agent frameworks, data platforms, and adjacent infrastructure providers. Create opportunities before there is an established partnership motion. - Define the opportunity alongside the partner. Understand how partners build, what their customers need, and where our technology can solve a meaningful problem. Work with product and engineering leadership to shape joint offerings, integration proposals, and commercial models. - Structure and close complex deals. Lead negotiations involving technical integrations, joint product development, distribution, and commercial agreements. Navigate competing priorities and create structures that give both organizations a compelling reason to commit. - Deliver integrations and adoption. Own relationships beyond signing. Align teams on scope, resources, and milestones; resolve obstacles; and keep partnerships moving toward implementation, launch, and sustained usage. - Influence across the organization. Bring partner and market insights into product, engineering, marketing, and leadership discussions. Make clear recommendations, surface tradeoffs, and build alignment around opportunities that require investment across teams. - Establish a repeatable approach. Turn early wins into sharper partner selection criteria, stronger deal structures, and more effective execution. Raise the quality of partnership work through sound judgment, shared learning, and mentorship. WHAT YOU’LL HAVE - Substantial experience in strategic partnerships or business development, typically 10–15+ years, with demonstrated ownership of strategically significant relationships in AI, data infrastructure, or developer platforms. - Deep engagement in the AI ecosystem, including strong relationships with founders, executives, and product and technical leaders at relevant companies. - A proven record of independently originating, structuring, negotiating, and closing complex partnerships that produced meaningful integrations, joint offerings, distribution, or adoption. - The judgment to identify which opportunities deserve investment, articulate a compelling partnership thesis, and walk away when the strategic or commercial fit is weak. - Strong product instincts and technical fluency. You can engage engineers on architectures and agentic workflows, uncover a partner’s underlying needs, and connect technical capabilities to business value. - Credibility in the startup community and firsthand experience building with limited structure, resources, or established processes. You can point to opportunities you personally created and brought to market. - The ability to think at enterprise scale while executing with startup urgency. You’re comfortable navigating executive stakeholders and handling the details needed to get an integration live. - A track record of influencing senior stakeholders and aligning product, engineering, legal, and commercial teams without relying on formal authority. - Creative commercial judgment, a bias for action, and accountability for outcomes through implementation and adoption. - Curiosity about decentralized infrastructure and the ability to become fluent quickly. Prior Web3 experience is welcome; substantial AI ecosystem experience is essential. - High ethical standards, direct communication, and comfort adapting as the product and market evolve. - Ability to travel approximately 20% of the time, including internationally. Location: San Francisco Bay Area preferred. We may consider exceptional candidates elsewhere who are deeply embedded in the AI ecosystem. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world. You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth. Key responsibilities Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company Minimum qualifications Expertise in Python, SQL, and data visualization tools. A bias for action and urgency, not letting perfect be the enemy of the effective. A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. A deep curiosity and energy for pulling the thread on hard questions. Experience in turning open questions and data into concise and insightful analysis. Highly effective written communication and presentation skills. A passion for the company's mission of building helpful, honest, and harmless AI. Preferred qualifications 8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context. 3+ years of experience deeply embedding in Product teams. Experience working on safety, anti-abuse, integrity shaped problems. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Los Angeles, USA; Mercer Island, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Software Engineer, you’ll also dive into projects that focus on team cohesiveness and cross-team objectives. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Engineers join Riot to become masters of their craft. They bring a deep passion for helping bring joy to players via technical solutions. In Foundations, we focus on the game engine, content pipelines, developer workflows, and other critical core capabilities. As a Staff Software Engineer on VALORANT’s Foundations Developer Experience & Workflows team , you will work directly on VAL’s development team, hand-in-hand with engineers, designers, artists, producers, and QA to build systems that enable them to move faster, work with greater confidence, and deliver amazing new experiences to players. To do this, you will design and evolve the platforms, tools, and workflows that power how VALORANT’s game developers create, iterate on, and validate content for both PC and console. Your work will span a diverse set of technical areas, adapting VALORANT’s development platform to meet needs wherever they emerge. This includes leveraging AI to accelerate development while establishing the appropriate guardrails for trust, quality, and reliability. This role will report to the Engineering Manager on the Foundations Developer Experience & Workflows team. Responsibilities: Create tools and systems that improve developer experience and efficiency. Work with stakeholders across the organization to address their pain points and exceed their expectations for what development on VALORANT can be. Influence software engineering best practices for development. Develop sustainable solutions that are testable, robust, and will ensure a consistent player experience across platforms. Provide mentorship to more junior members of the team. Contribute to development efforts through effective breakdown and execution on multi-month development efforts. Required Qualifications: 6+ years of professional experience in software engineering, including experience delivering live or shipped games at scale 2+ years professional experience with Unreal Engine 2+ years professional experience with C++ Bachelor's degree in Computer Science and/or equivalent experience Have collaborated on cross-team development efforts (3+ months in scope), including requirements gathering, planning, and release Desired Qualifications: Experience serving on a team that builds player-facing areas of a live game, such as characters, maps, modes, systems, or other in-game experiences. Experience building shared game development tooling For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - Nebraska Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Mississippi Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Idaho Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - West Virginia Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Maryland Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Alaska Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Virginia Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .