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Posted 5 Days Ago
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In-Office
San Francisco, CA, USA
Entry level
In-Office
San Francisco, CA, USA
Entry level
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.
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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.

After raising a $9m seed round led by Paradigm, we spent the last year developing coding evals for top coding models you know and love. At the same time, we've expanded into other domains besides coding: RSI & Auto-Research, Law, Enterprise Business, Cybersecurity, and others. Now, we are facing more lab demand for our data than we can serve, and are rapidly scaling the team to grow the business.

Our approach to creating training data scales using technology, and all of our data products are built on a unified self-reinforcing platform that learns through experience.

You would be joining a close-knit team that has reached product market fit, and your work would directly help to multiply our revenue.

You can see some of our work here: https://idler.ai/collections

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.

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