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Posted 9 Hours Ago
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San Francisco, CA, USA
In-Office
Entry level
Artificial Intelligence
Scale AI for reinforcement learning environments
The Role
Join a frontier AI research lab building rigorous evaluation environments and training data for advanced machine learning models. The role is intentionally flexible, allowing candidates to define how their expertise can accelerate the team. Success requires exceptional achievement in a competitive field, curiosity, speed, adaptability, and enthusiasm for teaching machines to think. This is an in-person position in San Francisco with competitive compensation, equity, benefits, meals, and relocation assistance.
Summary Generated by Built In

About idler

idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.

We closed on a multimillion-dollar contract with a top lab and raised a $9m seed round led by Paradigm. We are now facing more lab demand for our data than we can currently serve.

Teaching AI superhuman capabilities is a responsibility we take very seriously. Our training data comes from work that is rigorous, ethically produced, and grounded in real expertise.

About the role

We learned how to make great RL environments from scratch last year with no prior experience. Our team is an unorthodox, spiky group. Members with backgrounds ranging from game design and compilers to law and poetry have all made excellent contributions. If you think your skillset can help us accelerate, we’d love to hear how and why

Examples of what you’ll do

You tell us :)

What we’re looking for

  • Demonstrated elite performance in a specific, competitive arena

  • Curiosity, speed, and comfort with dynamic priorities

  • Desire to want to join a fast-moving team figuring out how to teach machines to think

Details

  • In-person in San Francisco

  • Competitive salary + meaningful equity

  • Free meals in office

  • Healthcare, 401(k), 15 days of PTO per year

  • Relocation assistance

  • Small, ambitious team

This is an in-person role in San Francisco. We're a tight-knit founding team and we play to win. Join us if you like to win too.

Skills Required

  • Demonstrated elite performance in a specific, competitive arena
  • Curiosity, speed, and comfort with dynamic priorities
  • Desire to join a fast-moving team figuring out how to teach machines to think
  • Ability to work in person in San Francisco
Am I A Good Fit?
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The Company
HQ: San Francisco, California
6 Employees
Year Founded: 2025

What We Do

Idler builds reinforcement learning environments that teach AI models to code at expert human levels. We create training environments based on real-world coding scenarios that prepare models for the complex challenges they'll face in production.

Why Work With Us

You'll be joining a team that's expanding quickly, get direct access to AI researchers at frontier labs, and be put in a position to grow as fast as you can handle.

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Idler Offices

OnSite Workspace

All employees work in person out of our office in the Dogpatch neighborhood of San Francisco.

Typical time on-site: None
HQSan Francisco, California
Dogpatch

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