Staff+ Research Engineer, RL Data Platform

The posting, as Anthropic wrote it

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

Anthropic's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday.

This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it.

Key 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".

Minimum 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.

Preferred qualifications

Experience building annotation, labelling, evaluation,
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n our team.

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How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.