Data Operations Manager, Human Data

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Data Operations Manager will build and scale data operations across research teams working on frontier AI capabilities. You will partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. The role emphasizes operational excellence combined with technical depth to understand what makes high-quality training data while focusing on strategy and execution.

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

Requirements

• 3+ years in operations, consulting, product management, or program management roles
• Exceptional project management skills with ability to handle multiple complex projects simultaneously
• Strong communication skills and ability to engage effectively with technical and non-technical stakeholders
• Familiarity with how large language models (LLMs) work or strong interest in AI training methodologies
• Highly organized and able to navigate ambiguity effectively
• Experience with data analysis tools such as SQL, Python, Tableau, spreadsheets, or similar
• Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience

Additional qualifications (beneficial)

• 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

Logistics

• Location(s): San Francisco, CA and New York City, NY (U.S.)
• Location-based hybrid policy: staff are expected to be in one of our offices at least 25% of the time
• Minimum years of experience: will correlate with internal job level requirements
• Visa sponsorship: Anthropic does sponsor visas and retains an immigration lawyer; sponsorship is not guaranteed for every role/candidate but the company will make reasonable efforts if an offer is made
• Annual salary range: $270,000 - $365,000 USD

Benefits

Anthropic states it offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment.