Idler builds reinforcement learning environments that teach AI models to code like 0.01% engineers. Our training environments are based on real-world coding scenarios that frontier models will actually encounter.
We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date), and demand is outpacing our capacity to deliver. We're scaling fast to build the training data layer for frontier AI. Every breakthrough model will need environments like ours to learn real-world skills at scale.
We're a tight-knit founding team in San Francisco. We move quickly, think deeply about what makes good training data, and play to win. Join us if you want to win too.
Idler builds reinforcement learning environments that teach AI models to code like 0.01% engineers. Our training environments are based on real-world coding scenarios that frontier models will actually encounter.
We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date). Demand is outpacing our capacity to deliver, so we're scaling the team fast.
Build features and tooling for our agentic systems that create and QA coding environments. You'll work alongside senior engineers and the founding team, learning how to design systems that are both technically sound and philosophically robust. A big part of our work is thinking critically about what makes a coding environment "good" and "fair".
Concretely, you'll:
The founding team, a founding engineer, and a small group of engineers (we're hiring quickly). You'll learn directly from people building at the cutting edge of AI training.
Typescript, React, NodeJS, Postgres, Redis, Vercel, Cursor
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.
TypeScript, React, NextJS, Postgres, NodeJS, various AI completions