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This lab builds the digital environments where AI agents learn by doing. Not just simulating, but actively navigating software, failing, and improving through trial and error. They're generating the experiential data that trains the next generation of AI, backed by significant funding and working directly with frontier AI labs.
You'll own difficult AI and research-engineering problems end-to-end. This isn't about short-term experiments or isolated features; it's substantial technical work, hands-on for months, turning ambiguous questions into production impact. You'll design approaches for high-quality training data, fine-tune models, build evaluation loops, and connect models to interactive software tasks. This is a seat for someone who wants to prototype quickly, then build robust, observable systems, not just theorize.
This is a rare role at a lab pushing the boundaries of AI agent training. Dex helps you cut through the noise: sign up once, get matched to this and other high-calibre roles, and receive a full brief before you even apply. Skip the cold outreach and get properly prepared for a process that matters.
If you're interested, sign up to Dex to apply - jobs.meetdex.ai/jobs/93b274e1-e50a-4087-aa78-42db7ba029aa
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