Data Operations Manager (Human Data)

• As Data Operations Manager, you’ll build and scale data operations across research teams working on frontier AI capabilities. You’ll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production
• This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution
• The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You’ll work with world‑class researchers advancing the frontier while building the operational infrastructure to scale these efforts
• We’re looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting‑edge AI research, we’d love to hear from you
• Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
• Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
• Design and implement operational systems that translate research requirements into high‑quality data pipelines
• Build evaluation frameworks and quality standards that ensure data meets the bar for training state‑of‑the‑art AI systems
• Lead cross‑functional initiatives to optimize research velocity while maintaining rigorous quality standards
• Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
• Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office

• Are passionate about AI safety and understand the critical importance of high‑quality data
• Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
• Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
• Are highly organized and can navigate ambiguity effectively
• Have strong communication skills and can engage effectively with technical and non‑technical stakeholders
• Have 3+ years in operations, consulting, product management, or program management roles
• Have exceptional project management skills with ability to handle multiple complex projects simultaneously
• Thrive in fast‑paced research environments with shifting priorities
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• 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
• We encourage you to apply even if you do not believe you meet every single qualification
• 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
• 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

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