Video Annotator - Physical AI
Company shown to members 🔒 · Remote · India only
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First recorded by Psst: 3 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.
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- Experience required (years not stated)
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Job details
- Where you can work
- India
- Employment type
- Not stated by the employer
- Advertised pay
- Not stated by the employer
- Experience
- Experience required (years not stated)
- Employer publication date
- 5 October 2026
- First recorded by Psst
- 3 November 2026
- Last checked at the source
- 9 November 2026
About the job
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 company 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 the company'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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