Physical AI is trained on human demonstrations. StreamGenie staffs the operators who make them, teleoperating robot arms and running instrumented capture sessions for robotics labs. Remote and in-lab work, by application.
Two operator tracks by application, and one you can start tonight.
Drive robot arms through real tasks (pick, place, fold, sort) so the robot learns from demonstrations recorded in its own body. You work a leader arm; the robot's follower arm mirrors you.
Run instrumented capture sessions to a buyer's spec: performing tasks in the POD, our capture station (an egocentric camera plus an external view), and keeping every take clean and on-protocol.
Not ready to apply? Take on a paid marketplace campaign: record real-world tasks or cut clips to a published brief, on your own time. It's the fastest way to get paid for real-world data, and a track record we look at.
Robotics labs can't train a robot to fold a towel from text on the internet. They need thousands of clean demonstrations of the real task, and the most useful ones are recorded in the robot's own body, by a person driving it. That person is an operator.
It isn't gig-app busywork: sessions are scheduled, specs are precise, and quality is checked before anything ships.
The best operators share a temperament more than a résumé.
Operator rates are set per project (by task, hardware and location), and you see the rate before you accept any session. Payouts go to PayPal, the same as every campaign on the marketplace. No fees, no paid training, no equipment you have to buy from us.
The Lab, our vidcast, is where we unpack what we're building: how AI training actually works, why labs pay for everyday footage, and where creators fit into the supply chain. In 05 we sit down with the guy who buys AI training data.
Three short steps, about three minutes. Tell us which work fits, what you bring, and how to reach you. We read every application.
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