{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/human-data"},"x-facet":{"type":"skill","slug":"human-data","display":"Human Data","count":6},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9bcc033f-15c"},"title":"GenAI Strategic Projects Lead, Public Sector","description":"<p>We&#39;re seeking a GenAI Strategic Projects Lead to own high-impact projects that drive revenue and experimentation. In this role, you&#39;ll work across operations, engineering, and customer engagement to produce world-class training and test and evaluation data for Large Language Models for our Public Sector customers.</p>\n<p>This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs</li>\n<li>Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently</li>\n<li>Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes</li>\n<li>Work closely with customers to understand their requirements and design data taxonomies that optimize model performance</li>\n<li>Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance</li>\n<li>Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage</li>\n<li>Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines</li>\n</ul>\n<p>You have:</p>\n<ul>\n<li>5+ years of experience in product development, data science, or operations</li>\n<li>A history of successful project management and comfort in ambiguity</li>\n<li>Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes</li>\n<li>Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience working in defense tech and/or an AI company</li>\n<li>A technical degree in fields like computer science, data science, or engineering</li>\n<li>A deep understanding of ML operations for generative AI workflows / products</li>\n<li>An active Top Secret security clearance</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9bcc033f-15c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4648363005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169,600-$212,000 USD","x-skills-required":["product development","data science","operations","project management","complex operational data analysis","data visualization tools","cross-org collaboration","human data strategy","data quality","scalability","long-term 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health</li>\n<li>Are a quick study,this team sits at the intersection of a large number of different complex technical systems that you&#39;ll need to understand (at a high level) to be effective</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines</li>\n<li>Familiarity with how preference data and reward models are used in AI model training</li>\n<li>Experience working with researchers who are internal users/customers</li>\n<li>Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows</li>\n<li>Strong instincts around system design , building things that evolve gracefully as requirements change</li>\n<li>Experience influencing technical and product direction on a team</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>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.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive compensation and benefits</li>\n<li>Optional equity donation matching</li>\n<li>Generous vacation and parental leave</li>\n<li>Flexible working hours</li>\n<li>Lovely office space in which to collaborate with colleagues</li>\n</ul>\n<p><strong>How to Apply</strong></p>\n<p>If you&#39;re interested in this role, please submit your application through our website. We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_76f61aca-ede","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5109273008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["full-stack engineering","data collection pipeline design","human data labelling interfaces","human-in-the-loop systems","data collection pipelines"],"x-skills-preferred":["preference data and reward models","AI model training","researcher collaboration","user experience design","system 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Anthropic</strong></p>\n<p>Anthropic&#39;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.</p>\n<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s Human Data Interfaces team builds the systems that collect data to improve our models. This includes novel interfaces for data vendors, tooling, and front-end and back-end infrastructure that enables researchers to gather high-quality data at scale. As a Software Engineer, you&#39;ll own the architecture and execution of our data collection pipelines — designing systems that are both performant at scale and resilient to the rapidly changing needs of our research teams. You&#39;ll work closely with researchers, our cross-functional data operations partners, and the crowdworkers and vendors who use these tools day-to-day.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Architect and build data collection pipelines that support rapid iteration, balancing data quality and system maintainability</li>\n</ul>\n<ul>\n<li>Think deeply about the experience of the crowdworkers and vendors using these systems, building interfaces that are clear, efficient, and lead to high-quality data</li>\n</ul>\n<ul>\n<li>Collaborate closely with research teams to understand evolving data needs and iterate quickly on collection methods</li>\n</ul>\n<ul>\n<li>Partner with our Human Data Operations team to understand the end-to-end data workflow and design interfaces that make their jobs easier</li>\n</ul>\n<ul>\n<li>Prioritize and juggle multiple workstreams, making trade-off decisions in a fast-moving environment where research priorities can shift quickly</li>\n</ul>\n<p><strong>You May Be a Good Fit If You:</strong></p>\n<ul>\n<li>Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well</li>\n</ul>\n<ul>\n<li>Are a strong full-stack engineer with broad experience across the stack</li>\n</ul>\n<ul>\n<li>Are very good at building internal tools, including working with users of the tools to understand their needs</li>\n</ul>\n<ul>\n<li>Thrive in fast-moving environments where you need to balance speed of iteration with long-term system health</li>\n</ul>\n<ul>\n<li>Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you&#39;ll need to understand (at a high level) to be effective</li>\n</ul>\n<p><strong>Strong Candidates May Also Have:</strong></p>\n<ul>\n<li>Experience building human data labelling interfaces, human-in-the-loop systems, or data collection pipelines</li>\n</ul>\n<ul>\n<li>Familiarity with how preference data and reward models are used in AI model training</li>\n</ul>\n<ul>\n<li>Experience working with researchers who are internal users/customers</li>\n</ul>\n<ul>\n<li>Background in building, and improving the user-experience of user-facing applications, particularly those involving complex UI interactions or annotation workflows</li>\n</ul>\n<ul>\n<li>Strong instincts around system design — building things that evolve gracefully as requirements change</li>\n</ul>\n<ul>\n<li>Experience influencing technical and product direction on a team</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;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.</li>\n</ul>\n<p><strong>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&#39;re interested in this work.</strong></p>\n<p><strong>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&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>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&#39;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 and collaboration.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8949260f-bbf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5109273008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$320,000 - $405,000 USD","x-skills-required":["full-stack engineer","data collection pipelines","human data labelling interfaces","human-in-the-loop systems","data collection methods","data workflow","system design","technical direction","product direction"],"x-skills-preferred":["experience building internal tools","user experience","complex UI interactions","annotation workflows","influencing technical direction","influencing product direction"],"datePosted":"2026-03-08T13:53:48.093Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"full-stack engineer, data collection pipelines, human data labelling interfaces, human-in-the-loop systems, data collection methods, data workflow, system design, technical direction, product direction, experience building internal tools, user experience, complex UI interactions, annotation workflows, influencing technical direction, influencing product direction","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62709d82-dc7"},"title":"Human Data & Research Services Strategic Sourcing Manager (Operations & Analytics)","description":"<p><strong>Strategic Sourcing - HD/Research Services</strong></p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a Human Data &amp; Research Services Strategic Sourcing Manager (Operations &amp; Analytics) to support day-to-day sourcing execution and operational excellence across the category.</p>\n<p>Human Data is the large-scale collection and curation of high-quality human-generated inputs—such as annotations, evaluations, and research data—that are essential to training, validating, and improving OpenAI’s models, ensuring they are accurate, safe, and aligned with real-world use cases.</p>\n<p>This role is intentionally operational and analytically focused, designed to complement senior strategic leadership driving large, complex, and novel engagements. You will own and execute early to mid-tier supplier engagements, manage sourcing workflows end-to-end, and ensure clean execution across procurement systems and stakeholder touchpoints.</p>\n<p><strong>Responsibilities</strong></p>\n<p><strong>Sourcing &amp; Deal Execution</strong></p>\n<ul>\n<li>Own and execute end-to-end sourcing activities for Human Data and Research Services suppliers.</li>\n</ul>\n<ul>\n<li>Support new supplier onboarding, renewals, amendments, and scoped expansions in partnership with senior sourcing leadership.</li>\n</ul>\n<ul>\n<li>Draft, review, and operationalize SOWs, pricing exhibits, and commercial terms in coordination with Legal and Finance.</li>\n</ul>\n<ul>\n<li>Ensure supplier engagements align with category strategy, commercial guardrails, and internal policies.</li>\n</ul>\n<p><strong>Operational Excellence</strong></p>\n<ul>\n<li>Act as a primary operator across procurement and contracting tools including Zip, Ironclad, and Slack.</li>\n</ul>\n<ul>\n<li>Manage intake requests, approvals, contract routing, and documentation hygiene with a high degree of accuracy.</li>\n</ul>\n<ul>\n<li>Track deal status, approvals, spend thresholds, and execution risks across a live portfolio of suppliers.</li>\n</ul>\n<ul>\n<li>Maintain clean records and reporting to support audits, leadership updates, and forecasting, and compliance.</li>\n</ul>\n<p><strong>Analytics &amp; Insights</strong></p>\n<ul>\n<li>Analyze supplier spend, usage trends, deal velocity, and operational bottlenecks.</li>\n</ul>\n<ul>\n<li>Produce clear summaries and insights for senior stakeholders to inform prioritization and decision-making.</li>\n</ul>\n<ul>\n<li>Identify opportunities to standardize, streamline, or improve sourcing workflows across the category.</li>\n</ul>\n<p><strong>Cross-Functional Collaboration</strong></p>\n<ul>\n<li>Partner closely with Human Data Ops, Research teams, Finance, Legal, Privacy, and Security to unblock deals.</li>\n</ul>\n<ul>\n<li>Serve as a trusted point of contact for internal stakeholders navigating procurement and contracting processes.</li>\n</ul>\n<ul>\n<li>Communicate clearly and concisely via Slack and written updates to keep workstreams moving.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>7+ years of experience in strategic sourcing, procurement, operations, or vendor management.</li>\n</ul>\n<ul>\n<li>Demonstrated experience managing multiple concurrent supplier engagements with strong attention to detail.</li>\n</ul>\n<ul>\n<li>High operational fluency with tools such as Zip (or equivalent intake tools), Ironclad (or CLM systems), and Slack.</li>\n</ul>\n<ul>\n<li>Strong analytical skills — comfortable working with spend data, contract terms, and operational metrics.</li>\n</ul>\n<ul>\n<li>Ability to execute independently while partnering effectively with senior stakeholders.</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Experience supporting Human Data, Research, AI/ML, or technical services categories.</li>\n</ul>\n<ul>\n<li>Proficient in Familiarity with SOW-based services, usage-based pricing, or research-driven vendor models.</li>\n</ul>\n<ul>\n<li>Prior experience operating in fast-scaling or ambiguous environments.</li>\n</ul>\n<ul>\n<li>Comfort working alongside senior leadership on sensitive or high-impact initiatives.</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$234K – $260K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of what is possible with AI and strive to create a future where AI is a force for good.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_62709d82-dc7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/57015fe7-642a-40a4-8c09-0afe2afaba7a","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$234K – $260K • Offers Equity","x-skills-required":["strategic sourcing","procurement","operations","vendor management","Zip","Ironclad","Slack","analytical skills","spend data","contract terms","operational metrics"],"x-skills-preferred":["Human Data","Research","AI/ML","technical services","SOW-based services","usage-based pricing","research-driven vendor models"],"datePosted":"2026-03-06T18:33:10.673Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"strategic sourcing, procurement, operations, vendor management, Zip, Ironclad, Slack, analytical skills, spend data, contract terms, operational metrics, Human Data, Research, AI/ML, technical services, SOW-based services, usage-based pricing, research-driven vendor models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":234000,"maxValue":260000,"unitText":"YEAR"}}}]}