Data Annotation
Video Annotator - Physical AI
About the role
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.
From Arctic Engines's job posting, checked Oct 30, 2026. The employer's own page is the final word on requirements and availability.
The application
Your details and CV, then 16 questions (1 written).
- 1.HeadlineShort answer · optional
- 2.EducationShort answer · optional
- 3.ExperienceShort answer · optional
- 4.SummaryWritten answer · optional
- 5.Do you have hands-on experience annotating Physical AI, Robotics, or Industrial Egocentric Video?Yes or no
- 6.How much experience do you have in Physical AI / Robotics video annotation?Pick any: 6522534 · 6522535 · 6522536 · 6522537
- 7.Which type of video annotation have you worked on?Pick any: 6522538 · 6522539 · 6522540 · 6522541 · 6522542
- 8.Have you worked on temporal action segmentation and video chunking?Pick any: 6522543 · 6522544 · 6522545
- 9.Which annotation tasks have you performed?Pick any: 6522546 · 6522547 · 6522548 · 6522549
- 10.Can you accurately identify the start and end timestamps of individual actions in a video?Pick any: 6522550 · 6522551 · 6522552
- 11.Have you annotated human actions involving hands, tools, and objects?Pick any: 6522553 · 6522554 · 6522555
- 12.Have you reviewed and corrected model-generated annotations?Yes or no
- 13.Have you worked on any video annotation platform/tool?Pick any: 6522556 · 6522557 · 6522558
- 14.What best describes your ability to follow detailed annotation guidelines and maintain consistency across videos?Pick any: 6522559 · 6522560 · 6522561
- 15.Are you comfortable working as a remote freelancer and completing assigned videos within timelines?Yes or no
- 16.When can you start?Pick one: 6522562 · 6522563 · 6522564 · 6522565
From Arctic Engines's apply page, checked Oct 30, 2026.
About Arctic Engines
The human-data arm of India's Apna Group hires onsite video collectors, freelance video annotators and annotation leads for its physical-AI egocentric video programs.
How it pays: The Operations Lead and QC Lead are full-time posts; the Video Annotator is freelance, paid per video hour. The postings state no payment schedule.
From our research: Embodied-AI Data Annotation market (market report)
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