Video Annotator

• Review and annotate first-person video showing human actions, tools, objects, and task workflows
• Split videos into meaningful chunks and mark precise start and end times for each action
• Apply action labels and write clear natural language descriptions of what happens in each segment
• Review model-generated annotations, correct errors, and ensure complete coverage and consistent labeling
• Follow annotation guidelines, resolve unclear cases with reviewers, and complete rework within assigned timelines

• Requirement: 50+
• 1+ year in Physical AI or robotics video annotation
• Immediate joiners preferred
• Prior hands-on experience annotating Physical AI, robotics, or industrial egocentric video is mandatory
• Understanding of temporal action segmentation, video chunking, action labeling, and timestamp accuracy
• Ability to describe visible actions clearly, including the relevant hand, object, and tool
• Experience with video annotation platforms
• Strong attention to detail and ability to meet quality and productivity targets
• Apply through this platform with your CV and a brief description of the Physical AI annotation projects you have worked on