Вакансии

Задачи: — Управление полным циклом разработки AI Agent "skills", включая предпусковое тестирование и оптимизацию качества диалогов. — Проведение исследований и анализа данных для выявления проблем в пользовательском пути и преобразование результатов в конкретные пользовательские истории. — Проектирование и проведение A/B тестов диалоговых сценариев для улучшения автоматизации и показателей удержания пользователей. — Согласование глобальных целей продукта с локальными потребностями бренда для обеспечения культурной релевантности AI-поведений в разных регионах. — Сотрудничество с инженерной и дата-сайенс командами для определения и мониторинга AI-ограничений, обеспечивающих техническую безопасность и эмпатию в крайних случаях. Требования: — Опыт работы в управлении продуктом от 2 лет, предпочтительно в AI, SaaS или электронной коммерции. — Техническое понимание работы больших языковых моделей (LLM) и моделей машинного обучения. — Аналитическая грамотность с умением переводить SQL-запросы в продуктовые инсайты. — Способность работать в быстро меняющейся глобальной среде с множеством заинтересованных сторон. — Наличие или готовность к переезду в Берлин, Германия. Плюсом: — Опыт в дизайне разговорного UI/UX. Условия: — Гибридный формат работы с посещением офиса в Берлине 2 дня в неделю. — 27 дней ежегодного отпуска с увеличением по стажу. — Бюджет на образование €1,000, языковые курсы и доступ к Udemy Business. — Медицинские обследования, медитация, абонемент в спортзал и субсидии на велосипед. — Финансовые бонусы: программа покупки акций сотрудниками, корпоративный пенсионный план, скидки на общественный транспорт. — Поддержка при переезде в Берлин.

Location: Animal Care Clinic - Wilsonville, OR Associate Veterinarian – Animal Care Clinic Animal Care Clinic | Wilsonville, Oregon Animal Care Clinic , an AAHA-accredited practice in Wilsonville, OR, is seeking an Associate Veterinarian to join our exceptional team. This is a fantastic opportunity to practice high-quality medicine in a collaborative environment with an experienced support staff and a loyal client base. Next About Us: At Animal Care Clinic, we've proudly served the Wilsonville community for decades with a focus on compassionate, personalized care. Our experienced team values collaboration, strong client relationships, and continuous learning, creating an environment where veterinarians can thrive both professionally and personally. What We Offer: Competitive Compensation: Base salary plus production with no negative accrual and potential sign-on bonus Comprehensive Benefits: Medical, dental, vision, life, and disability insurance, HSA contribution, 401(k) with employer match, PTO, and more Professional Development: Generous CE allowance plus paid licensing and professional membership dues Work-Life Balance: Flexible scheduling designed to support a sustainable career Additional Perks: Uniform allowance and a collaborative, team-oriented culture Life in Wilsonville, Oregon: Wilsonville offers the perfect blend of suburban comfort and Pacific Northwest beauty. With easy access to Portland, excellent schools, scenic parks, wineries, and endless hiking and outdoor recreation, it's an ideal place to build both your career and your life. About Lakefield Veterinary Group: As part of Lakefield Veterinary Group, a family-owned organization, our doctors enjoy the autonomy to practice medicine their way while benefiting from the support and resources of a larger network. We are committed to work-life balance, professional growth, and fostering outstanding hospital cultures. Interested? If you’re looking for a supportive team, high-quality medicine, and a place where you can truly grow and thrive, we’d love to connect. To learn more about the hospital and position please contact Jessi Wootten at jessi.wootten@lakefieldvet.com or apply at careers.lakefieldvet.com .

Location: New York, United States; San Francisco, California, United States Opportunity Brunswick Group is seeking an Associate to join our Financial practice. Brunswick was founded in 1987 as a financial communications firm, expertise that continues to differentiate us. For nearly four decades, Brunswick has consistently ranked at the top of our industry’s league tables on a country, regional, and global basis. Our global Financial practice has unparalleled experience developing and implementing campaigns to advise clients on both long-term positioning to enhance valuation and navigating complex capital markets transactions. Members of our Financial practice are deeply experienced and focus their client work on mergers & acquisitions, shareholder activism, IPOs, strategic investor relations and financial communications, and restructuring. These specialists partner with global colleagues to bring a powerful and complementary combination of perspectives across stakeholders to help clients manage their reputations during critical financial events. About the Role Client Contribution & Handling Advise clients on the communications implications of complex financial and corporate situations. Produce and refine press releases, strategic plans, presentations, talking points, Q&As, briefing materials and other client communications with precision, speed and sound judgment. Develop and execute integrated communications strategies that connect business objectives with the needs of investors, financial media, employees, regulators and other influential stakeholders. Translate complex financial, strategic and market developments into clear, compelling narratives, messaging frameworks and recommendations for varied audiences. Contribute to strategic discussions with senior executives and collaborate closely with legal and financial advisors on sensitive, fast-moving matters. Plan and deliver high-stakes announcements and campaigns, including transaction communications, corporate positioning, media engagement and executive preparation. Understand how earned media, digital and owned channels, stakeholder engagement and executive communications work together to advance client objectives. Team Management Manage day-to-day workstreams and client deliverables across multiple engagements, maintaining quality, responsiveness and attention to detail. Work with Partners and Directors to coordinate integrated account teams, collaborate across Brunswick practices and anticipate evolving client needs. Manage drafting, review and approval processes across client teams and external advisors, often under significant time pressure. Direct research and analysis of companies, sectors, financial developments, media coverage and stakeholder perspectives; convert findings into actionable advice. Mentor junior colleagues, provide constructive feedback and help foster a collaborative, high-performing team. Networking & Practice Development Contribute entrepreneurially to the growth of Brunswick’s Financial practice through new business development, proposals and thought leadership. Build trusted relationships with clients and prospective clients, journalists, financial and legal advisors, and other relevant stakeholders. Identify emerging issues and opportunities where integrated financial communications advice can create value for clients. What We're Looking For 7 – 10+ years of relevant experience in financial or corporate communications, strategic advisory, a communications agency, financial journalism, or an in-house corporate role. Experience supporting complex corporate situations or communications programs; exposure to M&A, activism, IPOs, restructurings or other capital markets events is strongly valued. Strong commercial acumen and an understanding of how corporate strategy, financial performance and market developments shape reputation and stakeholder expectations. Ability to interpret financial information and explain complex business issues clearly. Demonstrated ability to counsel or support senior executives and work effectively alongside financial and legal advisors. Excellent writing, editing and presentation skills, with experience creating high-quality materials for different stakeholder groups and communications channels. Sound judgment, creativity and the ability to learn new companies and sectors quickly, prioritize competing demands and operate with imperfect information. Experience managing projects and mentoring junior colleagues; a collaborative, proactive and entrepreneurial approach. Discretion, integrity and commitment to confidentiality when handling sensitive client information. Why Join Us Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of exceptional employee benefits to support your financial future, health and wellness, family and community and continuous professional development. The successful applicant will be eligible for the following compensation and benefits package: Base Pay: The annual base compensation range for this role is $130,000 - $170,000. The base pay offered will be determined by factors including experience, skills, training, office location, certifications, and education. Bonus Eligibility: Annual discretionary bonus contingent upon individual and firm-wide performance. Benefits: Medical, Dental, and Vision insurance. Disability insurance. Employee assistance program. Flexible spending account. Health savings account. Life insurance. Commuter Benefits. Generous Paid Time Off: 25 vacation days and 10 days sick leave, as well as 11 paid company holidays. Firm-sponsored 401(k) Plan with 3% automatic company contribution of base and bonus with an additional 1.5% profit share– immediate vesting. Career training and development opportunities. Employee discounts. Office Policy: At Brunswick, our work is a craft that thrives in teaching environments – whether in our offices or on-site with clients – through real-time observation, collaboration, human connection, clear guidance and by challenging one another to keep getting better. Our policy is that our team members are in person – either in the office or on-site with clients – at least four days each week. The firm will provide reasonable accommodation to qualified applicants or employees, as defined by applicable law. In addition to the application, the process may include virtual and in-person interviews, as well as an assessment, which may be timed. To request an accommodation during our application and hiring process, email americasaccommodations@brunswickgroup.com . About Brunswick Brunswick is a global advisory firm. We help companies tackle high-stakes issues, navigate complex stakeholder relationships, and deliver high-impact outcomes. Our clients value our ability to anticipate, shape, and respond to the key players and forces in the financial and investment arena, regulatory and geopolitical universe, NGO community, workforce and beyond. They rely on us for deep experience, fresh perspectives and original thinking. So, in Brunswick you will find an exceptional range of experience and talent with a rich mix of backgrounds. From the beginning, we have prioritized attracting, developing, and retaining the best professionals in the industry, united by a culture of inclusivity, excellence, and intellectual curiosity. Founded in 1987 in London, the firm has organically grown to 27 offices in 18 countries across the Americas, Europe, Middle East, Africa, Asia and Australia. We operate as a “one-firm firm” with no individual profit centers. This allows us to assemble fully integrated, bespoke teams for each client, able to draw on the full resources of Brunswick anywhere in the world. Brunswick is an equal opportunity employer.  All qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, disability, pregnancy, genetic information, or any other status protected by applicable law. Please read our Global Privacy Notice to understand how your data is managed.

Location: Munich, Germany Start Date: January 2026 Our client is a leading global insights and research firm that supports investors, consultants, and business leaders with access to industry expertise and market intelligence. With an international presence and a strong reputation in the professional services space, the company helps clients make informed business decisions through expert-led insights across a wide range of industries. About the Opportunity Looking to kick-start your career in a fast-paced, commercial environment? This role offers an excellent opportunity for ambitious graduates and early-career professionals to develop strong business acumen, commercial awareness, and client-facing skills while working with some of the world's leading investment and consulting firms. Key Responsibilities Manage projects from start to finish, understanding client requirements and delivering high-quality expert engagements. Identify and engage senior industry professionals through research and outbound outreach. Conduct high-volume phone conversations and build relationships with experts across various sectors. Work across multiple projects simultaneously while meeting tight deadlines. Develop knowledge of industries, markets, business models, and regulatory environments. Promote additional research and insight solutions to existing clients where relevant. Requirements Business fluency in German (C1 level or above). Strong communication and interpersonal skills. Highly motivated, ambitious, and commercially minded. Resilient, proactive, and comfortable working in a target-driven environment. Demonstrated leadership, extracurricular involvement, internship experience, or other notable achievements. Benefits Competitive base salary with uncapped performance-related earnings. Clear and structured career progression opportunities. Exposure to leading investment firms, consultancies, and corporate clients. Comprehensive benefits package, including technology allowance and wellness support. Generous annual leave and flexible working options. Ongoing professional development and learning opportunities. Collaborative, international, and high-performance work environment in Munich.

Location: Lisbon, Portugal About the Role As a Software Engineer on the Fund Accounting team, you'll have the opportunity to shape the platforms and systems that define how our operations run at scale. This is a full-stack, end-to-end engineering role where your contributions — from architecture decisions to shipped features — directly improve efficiency, automation, and accuracy across fund finance workflows used by industry-leading institutions. You'll partner closely with Product Management through the full software development lifecycle, from requirements gathering to delivery, building solutions that solve real, high-stakes problems in a domain where precision and scale both matter. On the technical side, you'll work primarily with Ruby on Rails on the backend and React on the frontend. We value strong engineering fundamentals — if you bring a solid technical foundation and the drive to build exceptional products, you'll have full support to ramp on our technologies through mentorship and hands-on experience. Familiarity with finance and accounting concepts is a plus. Over time, domain knowledge becomes a meaningful force multiplier when your work is directly automating complex financial processes at the heart of the alternative investments industry. Responsibilities: Backend feature development using Ruby (3.3.x) and Rails (8.x) Frontend application development using React and Redux Development of unit and integration tests using RSpec, Cucumber, and Capybara Building prototypes and proof-of-concepts (POCs) Active participation in recurring team meetings and ceremonies Participation in peer code reviews as part of our SDLC and change management processes Qualifications: Degree in Software Engineering or a related field is 6+ years of full-stack web application development 6+ years of development experience with React and Ruby on Experience with frameworks such as Python / Elixir, PHP / Laravel or similar may compensate for less direct Ruby on Rails experience. 6+ years of HTML and CSS development Strong understanding of relational database concepts, data modeling, normalization, and object-relational mapping (ORM). Passion for learning and adopting new Ability to work independently and collaboratively within a team environment. Strong problem-solving and analytical thinking Excellent communication Collaborative approach to software Proficiency in written and spoken English is required. Portuguese fluency is required for positions based in Portugal. Prior experience in the financial industry, including asset and wealth management, hedge funds, or investment banking, will be valued. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Dhahran, Saudi Arabia Eram Talent is looking for a motivated Associate Petroleum Engineer to join our client's team. In this role, you will support the engineering team in reservoir evaluation, production forecasting, and optimization projects. You will assist in data gathering, analysis, and report preparation, collaborating closely with senior engineers and geoscientists to achieve project goals. Responsibilities: Assist in reservoir and production data collection and analysis. Support the development of well performance models and forecasts. Help prepare technical reports and documentation. Collaborate with multidisciplinary teams to support field development planning. Ensure compliance with safety and company standards. Requirements Bachelor's degree in Petroleum Engineering or a related engineering field. 5+ years of experience in Petroleum Engineering or Oil & Gas industry. Basic understanding of reservoir engineering principles and production optimization. Proficient in Microsoft Office and engineering software/tools. Strong analytical and problem-solving skills. Good communication skills and ability to work in a team environment. Willingness to work in Saudi Arabia and travel as needed.

Location: Copenhagen, Denmark Workplace: hybrid EveryMatrix is a leading B2B Software provider delivering iGaming software, content and services. We are looking for a Corporate Development professional to join our Copenhagen office , a high impact role working closely with C-level leadership to drive M&A and strategic initiatives across our global organization. About the job: This role sits within the CEO Office and Corporate Development team, working closely with executive management on the company’s most important strategic and investment priorities. This is a unique opportunity to move from advisory to impact, working directly with senior leadership to shape and execute the company’s long term strategy. You will play a key role in shaping and executing our inorganic growth strategy, supporting M&A processes end to end while also contributing to broader strategic initiatives across the business. As part of a lean and high exposure team, you will have direct impact on investment decisions, strategic direction, and value creation, while helping build the frameworks and processes to support a growing global organization. What you will get to do: Support and manage end-to-end M&A processes including sourcing, evaluation, due diligence and execution Develop detailed financial models and valuation analyses to support investment decisions Conduct market, competitor and peer group analyses to identify opportunities Coordinate cross functional due diligence across key business areas Prepare investment materials and strategic analyses for executive leadership Support post merger integration planning and performance tracking Perform internal financial and operational analyses to support decision making Collaborate with business units on strategic initiatives and growth opportunities Support development of corporate development processes and frameworks What we are looking for: Master’s degree in Finance, Economics, Business or a related field 3-5 years of experience in investment banking, transaction services, corporate development or a similar role Strong financial modelling and valuation skills Solid analytical and problem solving capabilities Ability to manage projects and drive execution in a fast paced environment Strong communication and stakeholder management skills High level of ownership and attention to detail Experience in tech, software or iGaming is a plus Willingness to travel as required Experience using AI-powered tools (e.g. Claude, ChatGPT, Gemini, or similar) to support analysis, problem-solving and research is considered a strong advantage. Our Copenhagen office is growing and hosts key members of our leadership team, providing close proximity to decision-makers. Based at our new office at Sankt Annæ Plads, you will join a great working environment in a prime location - combining a relaxed, collaborative atmosphere with a highly ambitious and high-performing culture. What you can expect of us: Flexible hybrid work schedule after your first three months with us (with up to 50 days of work from home per year). Benefit from two Free Fridays each year, limited to one per quarter. Access to Gym. Access to online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time! We provide casino, sports betting, platform and payments, and affiliate management to more than 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Split, Croatia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Tražiš dinamičan posao u inovativnoj trgovini bez blagajne i bez direktnog kontakta s kupcima? 🚀 Pridruži se našem timu Wolt Marketa u Splitu i budi dio budućnosti maloprodaje! Očekuje te rad u Wolt Marketima (dark store) gdje pripremaš online narudžbe i pomažeš da kupci dobiju proizvode brzo i točno. 📌 Što ćeš raditi? ✅ Obrada online narudžbi putem aplikacije 📲 ✅ Zaprimanje i skladištenje robe 🏪 ✅ Održavanje točnosti zaliha i označavanje proizvoda 🔄 ✅ Održavanje radnog prostora i praćenje HACCP standarda 🛒 ✅ Rad u timu i brza komunikacija 📢 👌 Što tražimo? 🔹 Odlične organizacijske vještine i preciznost 🔹 Brzinu, snalažljivost i sposobnost rješavanja više zadataka odjednom 🔹 Dobro razumijevanje korisničkog iskustva 🔹 Otvorenost za rad u digitalnim aplikacijama 🔹 Poželjno iskustvo u sličnom poslu ili iskustvo rada u trgovini 🔹 Minimalno srednja stručna sprema 🔹 Poznavanje hrvatskog i engleskog jezika 🎁 Što ti nudimo? 💰 Početna bruto plaća je 1.388,40 €, plus 50% dodataka za noćne i vikend smjene, a što duže ostaneš s nama, to će i tvoja plaća rasti! 🚀 🍽️ Naknada za prehranu 🚆 Pokriveni troškovi javnog prijevoza (do 110 €) 📈 Mogućnost napredovanja na Shift Lead poziciju 🏖️ Minimalno 25 dana godišnjeg odmora + dodatni plaćeni dani 🏋️ Mogućnost korištenja PassSport programa 🎄 Božićnica + ostali benefiti iz kolektivnog ugovora za trgovine 📚 Strukturirano mentoriranje i obuka od 3 tjedna 🎉 Timska druženja i odlična radna atmosfera ⏰ Radno vrijeme 📆 5-dnevni radni tjedan, s mogućnošću povezivanja slobodnih dana 🕗 Smjenski rad (jutarnja i popodnevna smjena, te vikendi) 🚫 Ne radimo blagdanima! 🎓 Kako izgleda uvođenje u posao? 📌 Prva 3 tjedna radit ćeš uz trenera u stvarnom okruženju 📌 Mentorstvo od strane Team Leada 📌 Edukacije, treninzi i radionice za usavršavanje vještina 🔵 Zainteresiran/a? Prijavi se odmah! 💾 Molimo priloži životopis u PDF formatu. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote - United States 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 a 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, Global The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. Responsibilities As a Financial Data Sales Associate based in the EMEA region, you will oversee the full scope of sales at Databento. This includes the following: Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues that our customers raise. Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust. Gather customer feedback, testimonials, case studies, and more. Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping our CRM up-to-date and organized. Build a network of executive relationships across the industry and with key partners and customers. Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential business opportunities and adapt sales strategies accordingly. Collaborate across teams to align sales efforts with overall company objectives and ensure a seamless customer experience. Desired Qualifications The ideal candidate has experienced the end-to-end sales pipeline, including top-of-funnel, upselling, channel sales, customer success, and forecasting. Below are other skills that we look for: Understand and communicate with our user base of developers and quants. Experience with quant trading and market microstructure. Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot. Professional communication skills that align with the tone of an institutional financial product. White-glove management of the sales cycle with continual buy-in from the customer, discovering the user's pain points, signs of friction, being honest when our product isn't the best fit, not being too pushy or salesy, and knowing when to continue vs. back off. Readiness to work within a startup environment with limited resources and personnel. As a bonus: Active usage of GitHub, knowledge of enough C++, Python, and/or Rust to help answer client inquiries. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $80,000–$155,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth. WHAT YOU'LL DO - Build and own detailed financial and operational models with the highest quality and accuracy - Use data to influence key strategic decisions across Product, GTM, and business leadership - Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing - Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders - Partner closely with business leaders to translate strategy into execution and drive accountability - Help run bi-annual budgeting and headcount planning cycles - Manage company performance against financial targets — identifying where to course-correct and where to accelerate - Build and maintain internal tools that reduce manual work and improve data accuracy across the finance org   WHAT YOU NEED - 4+ years in Investment Banking, Management Consulting, VC/PE, or Corporate Finance at a top-tier technology company - Excellent financial modeling and quantitative / data analysis skills - Extreme attention to detail with a high regard for precision - Exceptional verbal and written communication skills - Track record of developing and maintaining relationships with internal and external partners - A "get things done" mentality — you dissect complex problems, find solutions, and drive them to completion with a high degree of autonomy - Comfort operating in ambiguity and adapting to evolving priorities   NICE TO HAVES - Expertise with Looker, SQL, and/or Python - Systems thinking — you design processes to be reliable, scalable, and maintainable - Curiosity about AI tools — prior experience is a plus, but not required BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Toronto, Ontario, Canada About the Role iCapital is seeking a Compliance Associate to join the Global Regulatory and Compliance team to support our Compliance team in ensuring adherence to applicable securities laws, regulations, and internal policies. The ideal candidate will have experience in regulatory compliance within the investment industry and a strong understanding of National Instrument requirements and regulatory expectations for PMs, EMDs, and IFMs. This role will assist with a variety of regulatory activities both at the company level and for investment vehicles. This individual will be responsible for all regulatory and compliance matters for iCapital’s business in Canada. iCapital operates through several different international entities, many of which are licensed to conduct regulated activities. The successful candidate will partner with the business teams to ensure that our Canadian office is operating within the letter and the spirit of the regulations. Responsibilities Assist in the development, implementation, communication, maintenance, and monitoring of compliance policies and procedures to ensure adherence to securities regulations (i.e. NI 31-103, NI 81-102, and NI 45-106). Foster a culture of compliance across the organization. Establish strong working relationships with business partners and other stakeholders. Collaborate with various departments within iCapital, to ensure alignment on compliance issues. Liaise with external parties and internal stakeholders for compliance-related matters and corporate governance. Support the preparation and filing of regulatory reports, including 45-106F1s, capital market participation fee filings, and other filings. Manage the Canada Compliance Calendar and ensure that all due dates and responsible individuals or parties are held accountable. Support regulatory audits, inquiries, and inspections by securities regulators, as required. Monitor and track regulatory developments and update internal policies accordingly. Assist with compliance training and attestations for employees, ensuring ongoing awareness of regulatory requirements and ethical standards. Coordinate and organize board meetings, including preparation of packages and minutes. Maintain compliance records and support the management of regulatory filings, certifications, and other compliance-related documents. Contribute to the implementation and continuous improvement of programs, processes, policies, and tools to meet or exceed regulatory requirements, industry best practices, and achieve organizational goals. Support the Canada Legal and Compliance team overall and provide back-up for the other members of the team. Qualifications 2-5 years of experience of senior compliance, business controls, operations and regulatory experience with an investment fund manager, portfolio manager and exempt market dealer entity regulated by the Canadian securities authorities Bilingual in English and French preferred Compliance expertise in the private fund and investment management space Experience with regulatory filings is a plus Excellent analytical skills, attention to detail, and able to interpret regulatory requirements Adaptable and entrepreneurial, able to work within the fast-paced, growing and constantly evolving structure of a high-growth company Strong written and verbal communication skills Able to manage multiple tasks, meet deadlines, and work independently or as part of a team Strong computer skills, including MS Suite (i.e. Word, Excel, and PowerPoint, and DocuSign) Benefits The base salary range for this role is CAD 80,000 to CAD 95,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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 - 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 - 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: Dhahran, Saudi Arabia Eram Talent is seeking a motivated and detail-oriented Associate Facilities Engineer specializing in Mechanical systems to join our dynamic team in Saudi Arabia. As part of our commitment to delivering top-tier engineering solutions across various sectors such as Oil & Gas, Infrastructure, Energy, and Healthcare, you will support the design, operation, and maintenance of mechanical facilities to ensure optimal performance. In this role, your responsibilities include ensuring 24/7 operational efficiency of office facilities through inspections, maintenance coordination, and user interactions; managing logistics such as receiving and checking materials; and handling project logistics during scheduled shutdowns. The division also oversees janitorial services and parking management, and serves as the first response team during emergencies and incidents. Responsibilities Supports the development of engineering solutions and the formulation of design basis by collecting and analyzing data related to operational requirements, process considerations, and economic factors to support proposals for new construction, modifications, or equipment maintenance. Monitors and inspects the construction progress of assigned projects to ensure compliance with company engineering standards; recommends or confirms design modifications, material, and equipment substitutions; and ensures costs remain within approved budgets or justifies any overruns. Participates in developing cost estimates for engineering, labor, equipment, and materials based on the analysis of preliminary design data; assists in resolving related issues as they arise. Requirements Bachelor's degree in Mechanical Engineering or a related field. 7+ years of experience in operation maintenance and engineering activities, including analysis, development, design, coordination, and project control. Basic knowledge of HVAC, plumbing, and fire suppression systems. Familiarity with relevant industry codes and safety regulations. Strong analytical and problem-solving skills. Good communication and teamwork abilities. Proficiency in engineering software and tools related to mechanical systems. Willingness to learn and adapt in a fast-paced environment. Ability to work effectively under supervision and independently when required.

Location: Remote - Missouri 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 - Illinois 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 .