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Open nowPosted 14 hours ago

Video Annotator - Physical AI

Workable (global search)107,765 open roles

Where
India
Work mode
Remote
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Your applicationOpen nowVideo Annotator - Physical AIWorkable (global search) · India

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  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 14 hours ago

Workable (global search) median: 2 days open

The posting

About Arctic Engine:

Arctic Engines is an enterprise-grade Al human data operations company specializing in high-quality training data, RLHF, and human feedback pipelines for frontier Al models. We are part of the Apna Group, one of India's fastest-growing unicorns, backed by marquee investors such as Lightspeed, Tiger Global, Insight Partners, Peak XV, and others. With native access to Apna's 60M+ workforce, we deliver high-quality training data at unmatched scale and speed.

Role: Video Annotator – Physical AI

Requirement: 50+

Company: Arctic Engines

Location: Remote | Freelancer

Experience: 1+ year in Physical AI or robotics video annotation

Joining: Immediate joiners preferred

Compensation: Rs 750/video hour

About the role

We are hiring Video Annotators to create accurate, timestamped annotations for egocentric videos captured in industrial and commercial environments. Candidates must have hands-on experience working on Physical AI datasets.

Requirements

Key responsibilities

  • 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.

Required skills:

  • 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.

Note: Apply through this platform with your CV and a brief description of the Physical AI annotation projects you have worked on.

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