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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in video annotation for Physical AI and robotics, with a strong focus on temporal action segmentation, action labeling, and ensuring accuracy in timestamping. Capable of producing clear natural language descriptions and maintaining high-quality standards in annotation tasks.
Highest-signal resume keywords
Physical AI Video AnnotationRobotics Video AnnotationTemporal Action SegmentationVideo Annotation PlatformsAttention To Detail
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Video ChunkingAction LabelingTimestamp AccuracyNatural Language DescriptionAnnotation Guidelines
Soft Skills
Strong Attention To DetailAbility To Meet Quality TargetsAbility To Resolve Unclear Cases
Tools & Technologies
Video Annotation Platforms
Industry Keywords
Physical AIRoboticsIndustrial Egocentric VideoAnnotation Guidelines
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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