Robotics Annotator
Label sensor, video and motion data for robotics and autonomous systems, including 3D and temporal annotation.
Robotics data is spatial and temporal, which makes it a different discipline from labelling flat images. The work includes tracking objects across frames, annotating point clouds and depth data, segmenting a scene into navigable and obstructed space, and labelling manipulation sequences frame by frame.
Consistency across time is the hard part. An object labelled slightly differently in successive frames teaches a model that the world flickers.
Corpshore runs annotation, evaluation and data collection for AI teams across 18+ countries in 35+ languages. Work is assigned by qualification and availability, not by location, and every task shows its rate before you reserve it.
What you would be doing
- Annotate video, LiDAR, point cloud and depth data
- Track objects consistently across frames and occlusions
- Segment scenes for navigation and manipulation
- Maintain frame to frame consistency across long sequences
What we need from you
- Strong spatial reasoning
- Comfort with specialist annotation tools
- A reliable internet connection and a device you can work on comfortably
- Ability to follow a written rubric precisely, including its edge cases
- Willingness to have your work reviewed, and to act on that review
Helpful, not required
- Robotics, computer vision, CAD or GIS background
- Experience with 3D or video annotation
- Previous annotation, transcription, moderation or research experience
- Comfort with spreadsheets or annotation tooling
- A subject you know unusually well, whatever it is
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