# Research Operations, Reinforcement Learning at Anthropic

> Open role observed by RunReq as of 2026-10-15T00:24:46.150990+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA
- Team: AI Research & Engineering
- Compensation: $210K–$260K /YR
- First observed: 2026-09-23T01:45:00.975961+00:00
- Days open: 22
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5422117008)

## Shortened description

### Key responsibilities

- Manage reinforcement learning leaders' priorities, schedules, agendas, and decisions.
- Triage issues, route decisions, communicate outcomes, and track commitments to completion.
- Identify resource gaps, technical bottlenecks, and stalled actions before they block work.
- Draft announcements and planning materials, and improve recurring operational processes.

### Qualifications needed

- Bring technical fluency in reinforcement learning, model training, and evaluation results to work with leading researchers.
- Write clear summaries and plans, interpret data visualizations, and maintain strong follow-through and attention to detail.
- Have experience in operations, chief of staff, program management, or comparable support for senior leaders in a technical organization.
- Hold a bachelor's degree or equivalent education, training, or experience in a relevant field.

## 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/4f5229eb-e158-89e9-8d4a-47a3bb7dbc91
- Site-wide agent directory: http://runreq.com/llms.txt
