Staff+ Research Engineer (RL Data Platform)

Location: San Francisco, CA or New York City, NY; staff are expected to work from one of the offices at least 25% of the time.

Annual salary: $500,000–$850,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Design, build, and operate feedback and data collection interfaces for human annotators, domain experts, and researchers.
• Develop backend services, APIs, and pipelines that route model samples to people and return structured feedback for training.
• Own the reliability, latency, and usability of systems operating against live model endpoints.
• Partner with RL researchers to turn changing data needs into collection campaigns and supporting tools.
• Build dashboards, monitoring, and inspection tools for data quality and throughput.
• Identify and remove bottlenecks between requested data and inclusion in the training mix.

Requirements

• Strong full-stack engineering skills with production experience in TypeScript and React on the frontend and Python on the backend.
• Experience designing and operating backend services and data pipelines used by other teams.
• End-to-end project ownership, from ambiguous requirements through production delivery.
• Ability to work directly with technical stakeholders, evaluate changing needs, and make sound prioritization decisions.
• Effective use of AI tools in daily engineering work.
• Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

• Experience with annotation, labeling, evaluation, or other human-in-the-loop data tooling.
• Experience with RLHF, preference data, or human-feedback pipelines for ML systems.
• Experience building researcher-facing or expert-facing internal tools and improving them through user research and experiments.
• Experience with crowdworker or expert vendor platforms at scale.
• Familiarity with LLM training and evaluation.

Culture & Benefits

• Collaborative work on large-scale AI research efforts focused on steerable and trustworthy AI.
• Frequent research discussions and an emphasis on communication and measurable impact.
• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave, flexible working hours, and office collaboration.
• Visa sponsorship is available when feasible, with immigration-lawyer support.