About Patronus AI Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
About the role
About Patronus AI
Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.
We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench , Lynx , SimpleSafetyTests , CopyrightCatcher , Humanity’s Last Exam , and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.
At a glance
Engagement: Independent contractor, fully remote, asynchronous
Pay: $50 to $150 per hour. Some projects pay per task instead: you are paid when the full task is submitted, with a bonus for each accepted task. Strong performers move up within that range or onto productivity-based pay. The trial task is paid.
Commitment: 10 or more hours per week
Start: Rolling
Location: Remote
The role
You'll design realistic Unreal Engine 5 tasks that an experienced developer, designer or artist could complete with the right project and tools, and that today's AI models get wrong.
Each task starts from a brief we provide for a project area. You write the task the way you would hand it to a mid-level colleague, list the assets involved, build or document the reference solution, and write acceptance checks a tester could verify without opinion. One task is about a working day of developer effort. Your work becomes evaluation and training data for frontier models.
You don't need an AI background. You do need to be the kind of Unreal developer who knows real work from busywork, and can tell when a requirement can be checked objectively and when it can't.
Areas we're hiring for …
Official source: job-boards.greenhouse.io. Details can change; the platform's page is the final word. How we check listings.
