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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 We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key r esponsibilities Architect and implement cutting-edge iOS applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one Minimum qualifications Expertise in Swift, UIKit, SwiftUI, and iOS frameworks Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality 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: $320,000 — $405,000 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 We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key responsibilities Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one Minimum qualifications Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality 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: $320,000 — $405,000 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 Workplace: hybrid About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.   About Truv by Checkr Truv by Checkr delivers real-time income and employment verification to government agencies. State Departments of Health, Social Services, and Health and Human Services use our platform to verify eligibility for programs like SNAP, Medicaid, TANF, and child support faster, more accurately, and with less burden on the residents they serve. Backed by Checkr’s scale and our secure, API-first platform for payroll data access, we’re replacing manual, paper-heavy verification processes with modern infrastructure built for the public sector.   About the Role  We’re hiring a Staff Product Manager to own the end-to-end client experience for Truv by Checkr’s government business, from contract signature through go-live and sustained adoption. Your focus is activation. You’ll make it dramatically faster and easier for agencies, system integrators, and their developers to get to live verifications, and to keep getting value afterward. You’ll lead client onboarding and activation across engineering, design, implementation, and customer success, and shape how Checkr scales its government business. You’ll work directly with agency program leaders, eligibility caseworkers, and integration partners, and turn their feedback into products that remove friction at every step. What You’ll Do: Own the activation journey end to end. Define and improve every stage of the agency lifecycle after contract: onboarding, implementation, configuration, go-live, and post-launch adoption. Partner with Sales so the demo sets agencies up for a smooth start. Build toward a self-serve experience wherever possible. Reduce time to go-live. Find the bottlenecks between contract and first live production verification, whether they’re technical, procedural, or organizational, and ship products that remove them. Build for every type of client user. Design configuration and customization capabilities in the Truv dashboard for agency administrators, caseworkers, and technical teams who rely on it for day-to-day operations and reporting after go-live. Elevate the developer and integrator experience. Partner with agency IT teams, system integrators, and eligibility system vendors to streamline integration, including documentation, sandbox environments, best practices, and implementation tooling. Measure and improve client health. Define activation and adoption metrics, build visibility for internal teams and clients, and use the data and client behavior to prioritize and ship improvements quickly after launch. Bring the voice of the agency into the roadmap. Run user research and usability testing with agency staff and end users. Gather feedback from implementation and go-live, and turn it into clear, prioritized product plans. Partner on compliance and security. Work with compliance, legal, and security teams to make sure onboarding and data flows meet public sector requirements. Lead through influence. Align product, engineering, design, implementation, customer success, sales, and marketing around a shared activation strategy. Mentor other PMs and raise the bar for product craft across the team. Who You Are: Required: A Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience. 8+ years of product management experience, including ownership of B2B or B2G onboarding, activation, implementation, or developer experience products. Experience shipping products in regulated, multi-stakeholder environments such as government, healthcare, insurance, or financial services, where compliance, security, or third-party partners shaped what you built. A record of improving time-to-value metrics (time to go-live, activation rate, adoption depth) with quantified results, and the analytical skill to define the right metrics and turn data into product changes. Comfort with technical products. You can partner closely with engineers and talk credibly with client developers about APIs, integrations, and configuration. Hands-on experience with user research and usability testing, and with experimentation where it’s appropriate. An excellent operator who manages competing priorities, synthesizes input from many stakeholders, and delivers in a fast-paced environment. Clear, structured written and verbal communication with audiences from agency executives to caseworkers to engineers. Strong plus: A record of delivering products used by state or federal agencies. Experience with public benefits programs (SNAP, Medicaid, TANF, child support) or eligibility systems. Experience at a startup or high-growth company. How We’ll Measure Success: Reduced time from contract signature to go-live for new agency clients. Higher activation and adoption rates across onboarded agencies. A greater share of onboarding and configuration completed through self-serve. Improved verification conversion and reliability in live agency deployments. Positive feedback from agency clients and integration partners on onboarding, usability, and support. High-quality launches delivered on time. What We Offer: A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.   Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. For applicants in Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com). On-target Earnings OR Base Salary range (San Francisco, CA). We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, seeour website.

Location: London 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 - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences. Professional fluency in both Spanish and English. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders 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: London 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 - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences. Professional fluency in both French and English. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders 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: London 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 - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences. Professional fluency in both German and English. EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders 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: India (Remote); Argentina (Remote); Romania (Remote) Workplace: Remote THE PRODUCTION TEAM AT LILT LILT’s production team focuses on onboarding and localized content delivery for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements. Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Operations teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together. WHERE YOU’LL WORK This is a contract position based out of India or Romania. Authorization to work in India, Argentina, or Romania is a precondition of employment. WHAT YOU’LL DO We're looking for an experienced multimedia specialist with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once. You will be responsible for scoping and processing multimedia content within our platform and partner platforms (e.g. CaptionHub, Articulate), ensuring accurate and timely completion of tasks. You will work hand-in-hand with Sales, Production, Operations, and Engineering. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global multimedia content management lifecycle, a working knowledge of video and audio processing with respect to content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. KEY RESPONSIBILITIES: - Act as a localisation subject matter expert during the pre-sales cycle, providing guidance on e-learning content workflows, tools, and formats. - Scope and plan multimedia localisation projects for e-learning content across multiple languages, ensuring accuracy, efficiency, and scalability. - Prepare source e-learning files (e.g., Articulate Storyline, Rise, Captivate) for localisation, including extraction of translatable content, audio, and visual assets. - Reintegrate translated and localised materials, ensuring fully functional, linguistically accurate final e-learning modules. - Support customer onboarding and implementation, offering workflow guidance for e-learning localisation. - Manage localisation of video, voiceover, subtitling, and interactive learning assets in line with project requirements. - Provide best practices for managing localisation-ready content and advise on automation opportunities in e-learning localisation workflows. - Operate and maintain localisation tools and platforms, supporting both AI-driven and human-led localisation processes. - Review localised e-learning content, including SCORM packages, for quality, technical accuracy, and adherence to brand and platform standards. - Perform final QA checks ("final eyes") and prepare final files for delivery to clients or internal stakeholders. - Act as the go-to expert on e-learning localisation workflows and tools across the organisation. - Meet SLAs and KPIs for engineering and localisation delivery. SKILLS AND EXPERIENCE: - 3+ years of experience in e-learning localisation or multimedia localisation with a strong focus on learning and development content. - Deep expertise in preparing and localising content developed in Articulate Storyline, Rise, Adobe Captivate, and similar authoring tools. - Strong understanding of SCORM/xAPI compliance, LMS integrations, and common e-learning file types. - Proficiency in video subtitling, editing, and localisation, including experience with voiceover, dubbing, audio integration, and subtitle syncing. - Experience with video editing software (e.g., Adobe Premiere Pro, Camtasia, Audacity) and managing media files at scale. - Familiarity with multimedia file formats and localisation-friendly formats (e.g., XLIFF, JSON, XML, STRINGS, SRT, VTT). - Exposure to CAT tools and localisation platforms (TMX editors, translation memory tools, OCR, and alignment software). - Solid understanding of character encoding, formatting rules, and localisation QA standards. - Strong organizational, communication, and problem-solving skills. - Comfortable managing large file repositories and understanding of file transfer methods (FTP, SFTP, cloud-based systems). AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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 Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration 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: $320,000 — $405,000 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: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Afghanistan; Remote, Worldwide; Remote - Europe; Remote Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Persian - Based in: Afghanistan, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Warsaw, Mazowieckie, Poland; London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As our global technology organization continues to scale, we are seeking a highly experienced Senior HR Business Partner (HRBP) to play a pivotal role in shaping and executing our people strategy worldwide. This is a high-impact position, combining strategic partnership with hands-on operational delivery in a dynamic and fast-paced environment. This role is central to enabling the success of our global tech function which includes Product, Engineering, Security to name a few. We require a super strong candidate with extensive experience in the technology sector, capable of influencing senior leaders, driving organizational effectiveness, and embedding a culture of impact, innovation, and growth across distributed and global teams. Responsibilities: Strategic Partnership : Act as the trusted People Partner to global technology leaders, translating business objectives into people initiatives that drive organizational performance and impact and long-term success. Workforce Planning : Anticipate future talent needs by analyzing headcount trends and business forecasts, and design scalable staffing models that keep global teams agile and equipped for growth. As well as working with leaders to build succession plans and initiatives. Talent Acquisition : Partner with our Talent team to optimize recruitment strategies and ensure seamless onboarding experiences that rapidly integrate top tech talent into the company. Performance Enablement : Build and manage frameworks that promote accountability and excellence, supporting managers with goal setting, continuous feedback, and tailored development plans. Learning & Development : Design and deliver programs — from technical up-skilling to leadership workshops — that align with global priorities and empower employees to grow their careers. Employee Relations & Engagement : Resolve workplace issues with empathy and fairness, lead initiatives that strengthen engagement and retention, and maintain open feedback channels to surface insights. Policy Design & Compliance : Create clear, scalable HR policies aligned with global best practices and local labour regulations; monitor regulatory changes to ensure compliance across markets. Operational Excellence : Enhance HR processes, payroll coordination, HRIS administration, and reporting by embedding automation and best practices to improve efficiency and accuracy. Data-Driven Insights : Use HR analytics to track key metrics (e.g., turnover, time-to-fill, engagement scores), identify trends, and provide actionable recommendations to leadership. Requirements: Industry & Functional Expertise : Minimum 7–10 years in HRBP or HR leadership roles within fast-growing technology companies, with proven success supporting global technical organizations. Operational Know-How : Strong track record in managing HR operations, payroll, HRIS, and policy implementation in complex, fast-paced environments especially in Poland Strategic & Analytical Mindset : Ability to translate business objectives into people strategies, leveraging data and insights to inform decisions and measure impact. Talent & Performance Management : Extensive experience leading recruitment initiatives, designing onboarding programs, and implementing performance frameworks for high-performing teams. Communication & Collaboration : Exceptional interpersonal skills with the ability to influence and build trust across senior leadership and diverse, international teams. Leadership Style : Pragmatic and business-oriented, comfortable challenging the status quo, driving change, and acting as a coach and trusted advisor to leaders. Open mindset: We move at pace within Capital.com and put AI at the centre of how we want to work, so experience with this is a big plus. Education & Language : Bachelor’s degree in HR, Business Administration, or a related field; professional HR accreditation (CIPD or similar) is a strong plus. Fluent English (CEFR B2+). What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance. You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale. WHAT YOU'LL ACHIEVE - Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation. - Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion. - Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization. - Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem. - Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments. - Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers. - Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling. - Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices. SKILLS YOU'LL NEED TO BRING - 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts. - Hands-on experience with APIs and data integration. - Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan. - Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration. - Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively. - A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale. NICE TO HAVES - Experience working in professional services, preferably in a startup or high-growth environment. - Experience deploying AI agents autonomously in complex coding or business workflows. - Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration. - Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up. - Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling. - Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions. - Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches. - Strong track record of successful enterprise customer implementations. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $175,000 - $240,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite  A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: South Africa; Remote, Worldwide; Remote - Europe; Remote Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Zulu - Based in: South Africa, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Nigeria; Remote, Worldwide; Remote - Europe; Remote Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Yoruba - Based in: Nigeria, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Wales; Remote, Worldwide; Remote - Europe; Remote Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Welsh - Based in: United Kingdom, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: Tashkent, Uzbekistan; Remote, Worldwide; Remote - Europe; Remote Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Uzbek - Based in: Uzbekistan , Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.

Location: India; Remote, Worldwide; Remote - Europe; Remote Workplace: remote Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries. At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. Are you detail-oriented and curious about tech?   Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.   By joining our talent community, you’ll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.   Note: This is not an active job opening. By applying, you’ll join our global contributor network. When a project aligns with your skills and availability, we’ll reach out with all the details, including scope, timeline, and compensation.   What You’ll Need - Native or near-native fluency in Sindhi - Based in: India, Remote - English proficiency - Comfortable with digital tools - Detail-oriented and curious   Why Join Us? 🚀 Limitless You – Work when and where you want, with room to grow 🤖 Limitless AI – Contribute to smarter, more inclusive AI 🌎 Be Part of Us – Join a global, supportive community   About our projects: Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.   Depending on your skills, you might: 📝 Annotate or label text, images, or audio to train AI systems 🔍 Evaluate search results, ads, or chatbot responses for quality and relevance 💬 Create and test prompts to improve large language models (LLMs) 🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy Some projects last a few days; others may extend over several weeks. Before each one, you’ll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.   How to Apply? Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.   📬Questions? If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com.