# Research Engineer, Domain Scaling at Anthropic

> Closed role observed by RunReq as of 2026-10-15T00:24:44.543034+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA \| New York City, NY \| Seattle, WA
- Team: AI Research & Engineering
- Compensation: $350K–$850K /YR
- First observed: 2026-06-22T04:37:25.917356+00:00
- Days open: 95
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5271380008)

## Shortened description

### Key responsibilities

- Own data strategy for knowledge work, from task sourcing through reinforcement learning training.
- Create reinforcement learning environments by identifying valuable tasks, designing rewards, managing vendors, and measuring model impact.
- Build data pipelines, evaluations, and quality assurance frameworks that detect reward hacking and measure generalization.
- Partner with domain experts, research teams, and product teams to turn capability goals into training environments and evaluations.

### Qualifications needed

- Bachelor’s degree in a relevant field, or equivalent education, training, or experience.
- Experience fine-tuning large language models for specific domains or real-world uses.
- Experience with reinforcement learning, reward design, or training data curation for large language models.
- Preferred: Experience training production machine learning systems, designing large language model evaluations, or working with technical vendors.

## Hiring context

- Open roles on this team: 66
- Newly observed on this team in 30 days: 7
- Company median days open: 55

## Interpretation

- RunReq records observed job postings; it does not show applicant volume or completed hires.
- The linked employer posting is authoritative for the full description and application process.
- Human-readable job page: http://runreq.com/jobs/9e2a6764-a03b-89b0-b8f6-ede817ff13d1
- Site-wide agent directory: http://runreq.com/llms.txt