# Staff+ Research Engineer, RL Data Platform

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $500,000-$850,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5404725008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2dfe06cc-ada

## Description

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.

The RL Data Platform team builds systems that produce, move, and serve the human data Claude learns from.

As a Staff+ Research Engineer, you will design and ship web interfaces used by thousands of expert annotators, build backend services and data pipelines, and work directly with RL researchers.

Key responsibilities:

- Design, build, and operate feedback and data collection interfaces

- Build and maintain backend services, APIs, and pipelines

- Own reliability, latency, and usability of systems

- Partner with RL researchers to translate data needs into collection campaigns

- Build dashboards, monitoring, and inspection tools

- Identify and remove bottlenecks between data requests and training mix

Minimum qualifications:

- Strong full-stack engineering skills with production experience in TypeScript/React and Python

- Experience designing and operating backend services and data pipelines

- Track record of owning projects end-to-end

- Comfort working with technical stakeholders and effective use of AI tools

- Care about societal impacts of work

Preferred qualifications:

- Experience building annotation, labelling, evaluation, or human-in-the-loop data tooling

- Experience with RLHF, preference data, or human-feedback pipelines

- Experience shipping researcher-facing internal tools

- Experience running experiments on data collection interfaces

- Familiarity with LLM training and evaluation

The annual compensation range for this role is $500,000-$850,000 USD.

## Skills

### Required
- TypeScript
- React
- Python
- full-stack engineering
- backend services
- data pipelines

### Nice to have
- RLHF
- preference data
- human-feedback pipelines
- annotation tooling
- LLM training

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5404725008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)