Staff RL Data Platform Engineer – End-to-End Data Tools

Anthropic; San Francisco, New York (CA, NY); On-site; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking a Staff+ Research Engineer for the RL Data Platform in San Francisco. You will design, build, and operate web interfaces for annotators and researchers, plus backend services and data pipelines supporting training data.

You will own projects end-to-end, collaborate with RL researchers, and emphasize reliability, low latency, and user-focused tooling in a data-driven environment.

Qualifications

• Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend.
• Experience designing and operating backend services and data pipelines that other teams depend on.
• A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
• Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn’t worth building.
• Effective use of AI tools in your own day-to-day work.
• Care about the societal impacts of your work.

Responsibilities

• Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.
• Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training.
• Own the reliability, latency, and usability of systems that run continuously against live model endpoints.
• Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them.
• Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer.
• Identify and remove the bottlenecks between 'we want this data' and 'it's in the training mix'.

Skills

Full-stack engineering

TypeScript/React

Python backend

Data pipelines

Backend services

Project ownership

Stakeholder communication

AI tooling

Societal impact

Education

Bachelor’s degree or equivalent

Job description

Anthropic is seeking a Staff+ Research Engineer for the RL Data Platform in San Francisco. You will design, build, and operate web interfaces for annotators and researchers, plus backend services and data pipelines supporting training data.

You will own projects end-to-end, collaborate with RL researchers, and emphasize reliability, low latency, and user-focused tooling in a data-driven environment.