Greenhouse ·
full-timeResearch Operations, Reinforcement Learning
Anthropic · San Francisco, CA
Anthropic is an AI safety and research company focused on developing reliable, interpretable, and steerable artificial intelligence systems. This Research Operations role is embedded within the reinforcement learning (RL) organization, which is responsible for training the Claude model. The position functions as a high-leverage operational partner to leadership, managing the flow of information, priorities, and decision-making processes. Daily responsibilities include managing leadership schedules, triaging communications, tracking project commitments, and identifying technical or resource bottlenecks. The role requires drafting organizational communications, creating clear documentation, and improving internal processes to reduce friction. It is well-suited for candidates with experience in operations, program management, or as a chief of staff within a fast-paced technical environment. Successful applicants must possess technical fluency sufficient to engage in discussions regarding model training and evaluation results, alongside the ability to influence senior stakeholders, manage ambiguity, and maintain high attention to detail in a rapidly evolving research landscape.
Education
- Level: Bachelor's degree
Key Skills
About the Role Research Operations at Anthropic supports the reinforcement learning organization by providing clarity, stability, and domain knowledge so researchers can focus on high‑leverage problems. Responsibilities Own leadership's time by shaping agendas, triaging issues, and ensuring decisions are made quickly. Enable wise decision‑making by communicating decisions and tracking commitments. Identify and surface resourcing gaps, technical bottlenecks, and stalled actions. Draft org‑wide announcements, programming, and planning materials. Find friction in processes and partner with teams to fix them. Offer candid counsel to leaders and push back when needed. Requirements Strong alignment with Anthropic's mission. Technical fluency to discuss RL training runs, evaluate results, and engage with researchers. Excellent written communication and ability to simplify complex material. Skill in creating clear dashboards and data visualizations. High attention to detail and follow‑through. Ability to influence senior stakeholders without direct authority. Comfort with ambiguity and fast‑changing environments. Experience in operations, chief of staff, program management, or a comparable role supporting senior leaders. Eligibility
Skills for this role
Required skills
Also mentioned in the listing
| Role | Research Operations, Reinforcement Learning |
|---|---|
| Company | Anthropic |
| Location | San Francisco, CA |
| Compensation | Not disclosed |
| Posted | 2026-09-22 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Research Operations, Reinforcement Learning at Anthropic: frequently asked questions
- Who can apply for the Research Operations, Reinforcement Learning role at Anthropic?
- The listing asks for Bachelor's degree; freshers are welcome.
- What skills does the Research Operations, Reinforcement Learning role require?
- The listing highlights Reinforcement Learning, Machine Learning, Data Visualization, Program Management, Operations Management, Technical Writing, Dashboard Design, Stakeholder Management. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Research Operations, Reinforcement Learning position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Research Operations, Reinforcement Learning role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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['Annual Salary: $300,000‑$320,000 USD', 'Internship position', 'Location: San Francisco, CA']