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.

What you will do

• Design, build, and operate feedback and data collection interfaces for human annotators, domain experts, and researchers.
• Build backend services, APIs, and data pipelines that route model samples to humans and return structured feedback for training.
• Own the reliability, latency, and usability of systems operating continuously against live model endpoints.
• Partner with RL researchers to turn evolving data requirements into collection campaigns and supporting tools.
• Build dashboards, monitoring, and inspection tools for evaluating data quality and throughput.
• Identify and remove bottlenecks between data collection 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.
• Experience owning projects end to end, from ambiguous requirements through production delivery.
• Ability to work directly with technical stakeholders, make sound prioritization decisions, and communicate effectively.
• Effective use of AI tools in day-to-day engineering work.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

• Experience with annotation, labeling, evaluation, or human-in-the-loop data tooling.
• Experience with RLHF, preference data, or human-feedback pipelines for machine learning 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 how large language models are trained and evaluated.

Culture & Benefits

• Collaborative research environment focused on large-scale, high-impact AI efforts.
• Flexible working hours and office-based collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship may be available, with immigration-lawyer support, depending on the role and candidate.
• Frequent research discussions and emphasis on communication, safety, and societal impact.