Data Operations Manager, Human Data

Details

Anthropic is seeking a Data Operations Manager to build and scale data operations across research teams working on frontier AI capabilities. The role combines operational excellence with technical depth to understand high-quality training data, with a focus on strategy and execution. The work will support tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment.

Responsibilities

• Own and execute data strategy for research teams working across RLHF, safety, tool use, and agentic workflows.
• Drive strategic vendor partnerships and build scalable frameworks for technical data collection.
• Design and implement operational systems that translate research requirements into high-quality data pipelines.
• Build evaluation frameworks and quality standards for data used to train state-of-the-art AI systems.
• Lead cross-functional initiatives to improve research velocity while maintaining rigorous quality standards.
• 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 of experience in operations, consulting, product management, or program management.
• Exceptional project management skills, including the ability to manage multiple complex projects simultaneously.
• Strong communication skills and the ability to work effectively with technical and non-technical stakeholders.
• Familiarity with how large language models work or a strong interest in AI training methodologies.
• Excellent organizational skills and the ability to navigate ambiguity.
• Experience with data analysis tools such as SQL, Python, Tableau, spreadsheets, or similar tools.
• Ability to thrive in fast-paced research environments with shifting priorities.
• Passion for AI safety and understanding of the importance of high-quality data.
• A bachelor's degree or equivalent combination of education, training, and experience.
• Relevant field of study demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• Experience with data collection, labeling, or annotation operations for AI/ML systems.
• Knowledge of RLHF, Constitutional AI, or human-in-the-loop workflows.
• Experience working with research teams at AI companies or research-oriented organizations.
• Experience managing vendor relationships or external contractors.
• Consulting experience translating complex requirements into deliverables.
• A track record of implementing process improvements or quality control systems at scale.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration.