# Staff+ Software Engineer, RL Data Platform

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $320,000-$405,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5404730008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_162285c1-57d

## Description

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

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

As a Staff+ Software Engineer on this team, 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 to understand their data needs.

Key responsibilities:

- Design, build, and operate feedback and data collection interfaces used by human annotators, domain experts, and internal researchers.

- Build and maintain 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 data needs into well-scoped collection campaigns and the tooling to run them.

- Build dashboards, monitoring, and inspection tools for researchers to see data quality and throughput.

- Identify and remove bottlenecks between data requests and delivery.

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.

- A track record of owning projects end-to-end.

- Comfort working directly with technical stakeholders.

- Effective use of AI tools in day-to-day work.

- Care about the societal impacts of your work.

Preferred qualifications:

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

- Experience with RLHF, preference data, or other human-feedback pipelines for ML systems.

- Experience shipping researcher-facing or expert-facing internal tools.

- Experience running experiments on data collection interfaces.

- Experience working with crowdworker or expert vendor platforms at scale.

- Familiarity with how LLMs are trained and evaluated.

The annual compensation range for this role is $320,000-$405,000 USD.

## Skills

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

### Nice to have
- RLHF
- human-feedback pipelines
- annotation tooling
- LLMs

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5404730008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)