Data Operations Manager, Human Data San Francisco, CA | New York City, NY

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Data Operations Manager, you’ll build and scale data operations across research teams working on frontier AI capabilities. You’ll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high‑quality training data, but your focus will be on strategy and execution. About the Impact The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long‑horizon reasoning, and safety alignment. You’ll work with world‑class researchers advancing the frontier while building the operational infrastructure to scale these efforts. Responsibilities Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale Design and implement operational systems that translate research requirements into high‑quality data pipelines Build evaluation frameworks and quality standards that ensure data meets the bar for training state‑of‑the‑art AI systems Lead cross‑functional initiatives to optimize research velocity while maintaining rigorous quality standards Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities Qualifications Have 3+ years in operations, consulting, product management, or program management roles Have exceptional project management skills with ability to handle multiple complex projects simultaneously Have strong communication skills and can engage effectively with technical and non‑technical stakeholders Are familiar with how LLMs work or have strong interest in understanding AI training methodologies Are highly organized and can navigate ambiguity effectively Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar) Thrive in fast‑paced research environments with shifting priorities Are passionate about AI safety and understand the critical importance of high‑quality data Preferred Experience Experience with data collection, labeling, or annotation operations for AI/ML systems Knowledge of RLHF, constitutional AI, or human‑in‑the‑loop workflows Background working with research teams at AI companies or research‑oriented organizations Experience managing vendor relationships or external contractors Consulting background with experience translating complex requirements into deliverables Track record of implementing process improvements or quality control systems at scale The annual compensation range for this role is $270,000 – $365,000 USD. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. 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 cannot guarantee sponsorship for every role and candidate. If an offer is extended, we will make every reasonable effort to obtain a visa. We encourage you to apply even if you do not meet every single qualification. Not all strong candidates meet every qualification. Research shows that people who identify as being from underrepresented groups are more prone to imposter syndrome and self‑doubt, so we urge you not to exclude yourself prematurely and to submit an application if you are interested in this work. As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr Anthropic