Description
We are looking for detail-oriented annotators to help label robot manipulation videos for AI training purposes. You will watch short videos of robots performing manipulation tasks and produce precise, structured, natural-language descriptions of the actions taking place.
Responsibilities:
- Watch short robot manipulation videos, each filmed from three synchronized camera views.
- Break each video into time segments and write clear, natural-language descriptions for each segment.
- Apply labels at three levels of detail for each applicable segment: atomic motion, skill/subtask, and task/goal.
- Ensure every moment of video is covered by a label at two or more of these levels.
- Accurately describe exactly what happens, including when something doesn't go as planned.
- Cross-reference all three camera angles to understand the overall scene and object identity.
- Follow a detailed style guide covering vocabulary for actions, spatial relationships, object descriptions, and manner of movement.
- Participate in periodic calibration sessions to align your labeling with the team and the client's reference examples.
Requirements:
- Strong written English.
- Sharp attention to detail.
- Comfort following a detailed, structured style guide.
- Basic comfort with spatial/mechanical description.
- Reliable, self-directed work habits.
Nice to Have:
- Prior experience with video annotation, data labeling, transcription, or QA work.
- Familiarity with robotics terminology.
- Experience with annotation tools such as Label Studio.
Benefits:
- Limitless flexibility with project-based opportunities.
- Optional access to AI and Large Language Model workshops.
- Part of a global contributor community with responsive guidance and support.
- Real impact by applying your expertise to influence AI systems.