Robot Manipulation Video Annotator (V2)

Overview

Welo Data is looking for detail-oriented annotators to label robot manipulation videos for AI training. The work involves reviewing short videos captured from three synchronized camera angles and producing precise, structured, natural-language descriptions of the actions shown. This is a remote, project-based opportunity with flexible availability.

What You'll Do

• Review short robot manipulation videos from an overhead camera and two wrist-mounted camera views.
• Divide each video into time segments and write clear descriptions for each segment.
• Apply labels at multiple levels of detail, including atomic motion, skill/subtask, and task/goal.
• Cover every moment of the video with labels, including idle or pause periods, with no gaps.
• Describe exactly what happens, including failed grasps, dropped objects, slips, and other unsuccessful actions.
• Use all three camera angles together to confirm object identity, grasp details, and the overall scene.
• Follow a detailed style guide for action vocabulary, spatial relationships, object descriptions, and movement manner.
• Participate in periodic calibration sessions to stay aligned with team standards and reference examples.

Requirements

• Strong written English and the ability to write many short, precise descriptive sentences per video.
• Sharp attention to detail and the ability to distinguish subtle differences in motion and contact.
• Comfort following a structured style guide consistently across ambiguous cases.
• Basic comfort with spatial and mechanical description, including left/right and object parts such as handles, lids, and edges.
• Reliable, self-directed work habits for heads-down work with periodic check-ins.

Nice to Have

• Prior experience with video annotation, data labeling, transcription, or QA work.
• Familiarity with robotics terminology such as grippers, end-effectors, and manipulation.
• Experience with annotation tools such as Label Studio.