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Anthropic

Staff+ Research Engineer, RL Data Platform

Anthropic · San Francisco, CA | New York City, NY

Posted 20 days ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
20 days
Anthropic's roles stay open a median of 40 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
276 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

In this role, you will be part of the RL Data Platform team at Anthropic, responsible for building and maintaining systems that facilitate the collection and processing of human feedback for AI training. This includes designing web interfaces for annotators, developing backend services and data pipelines, and collaborating with researchers to ensure data needs are met efficiently. You will have ownership of projects from conception to production, focusing on reliability and user experience.

Our read on this posting3.2out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • 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 that other teams depend on.
  • A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use.
  • Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building.
  • Effective use of AI tools in your own day-to-day work.
  • Care about the societal impacts of your work.

Nice to have

  • 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 other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience.
  • Experience running experiments on data collection interfaces and using the results to improve data quality.
  • Experience working with crowdworker or expert vendor platforms at scale.

What you get

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

Worth weighing

  • No specific mention of remote work flexibility beyond a hybrid policy requiring 25% office presence.
  • The role involves significant ownership and responsibility, which may lead to high pressure in meeting tight deadlines.
  • The salary range is quite broad, which may indicate variability in compensation based on experience or negotiation.
  • The emphasis on societal impacts suggests a strong ethical component to the work, which may appeal to some candidates but not others.

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at Anthropic

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