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OpenTrain AI is seeking detail-oriented annotation specialists to review video sessions where robotic arms perform real-world tasks and translate observations into accurate training data. You will follow strict guidelines, label movements and interactions, and note timing, occlusions, and spatial changes across batches.
Ideal candidates bring a keen eye for motion, visual continuity, and the ability to write concise notes explaining edge cases.
You will review video sessions showing robotic arms performing real-world tasks and turn what you see into accurate training data. The work uses visual effects and 3D animation skills to understand robotic activity, not to create rendered assets.
You will follow detailed annotation and grading guidelines, document unclear moments, and complete assigned batches by their deadlines.
This is a remote, part-time contractor role for English-speaking workers in North America, Latin America, Europe, the UK, and Oceania. Prior AI, robotics, or data-labeling experience is not required.
OpenTrain AI hires and contracts people for AI training work, where human contributors prepare and review examples used to improve artificial intelligence systems. Video annotation helps models understand motion, objects, and events in visual data, so careful reviewers with relevant experience are paid for accurate judgments.