Data Annotation Specialist, Physical AI

Genesis·San Carlos·Posted 30 September 2026

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About the role

ABOUT GENESIS AI Genesis AI is building a universal robotics foundation model — the "brain" that lets robots see, reason and handle objects in the real world. Our models learn from large volumes of robot, simulation and human-demonstration data, and the quality of that data directly shapes how well our robots perform. THE ROLE We're scaling our labeling team. You'll review and annotate robot and video data that trains and evaluates our models, working side by side with the researchers who use it. Your judgment on hard cases will shape our guidelines, our tools and, ultimately, how our robots behave. WHAT YOU'LL DO - Annotate robot episodes, videos, images, and sensor data using internal labeling tools - Label objects, actions, task steps, and successes or failures in robot demonstrations - Write clear, consistent natural-language descriptions of robot and human behavior - Flag ambiguous or edge cases and help define how they should be handled - Perform quality assurance checks on teammates' annotations and join regular calibration sessions - Meet quality and throughput targets while tracking your own accuracy over time - Report tool bugs, workflow friction,…

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