Data Annotation Specialist, Physical AI

• 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, and guideline gaps to the engineering team

• 2-5+ years of data annotation or labeling experience in a detail-heavy, deadline-driven environment

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: you're hungry to learn, move fast, and keep going on tight deadlines

• A track record of high-accuracy work at volume, with the ability to hold quality while speed increases

• Sharp attention to detail and the judgment to spot when instructions fall short

• Excellent written communication, and the confidence to raise problems early

• Comfort with ambiguity and shifting priorities in a fast-moving startup

• Curiosity, coach-ability, and consistency

• Prior data annotation, quality assurance, or issue triage experience

Experience with video, 3D, point-cloud, text, or robotics data

• Interest in robotics, machine learning, or how physical tasks are performed

Genesis AI is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability or veteran status. Pay range reflects the expected hourly rate for this role in the San Francisco Bay Area; final rate depends on skills and experience.