About the role
About Anthropic 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.
Responsibilities, requirements, fit, evidence and preparation are organized here. The original posting remains available in Source & verification at the end.
What you'll do
- 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
What they're looking for
✦ Select any requirement to ask Aptiora about your fit, evidence or application.
- A field relevant to the role as demonstrated through coursework, training, or professional experience
About Anthropic
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