Robotics Annotator

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.

Cosa faresti

• 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

Cosa ci serve da te

• 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

Utile, non richiesto

• 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