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 roleWe'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 doAnnotate 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
A strong sense of ownership: you see work through to the finish line
Drive and urgency: 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.
