# Video Annotator - Physical AI at apna

> Remote · India · Unspecified · Other · open. Source: https://alderhq.app/jobs/workable%3Aapna%3A8FF9F047B3 (read 2026-11-08).

## Facts (observed)

- Company: [apna](https://alderhq.app/companies/apna)
- Location text: India
- Where it can be done from (inferred): Remote · India (evidence: "Location lists "india" and remote")
- Posted: 2026-10-05 (34 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/8FF9F047B3

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 57): p25 $17k, median $31k, p75 $135k

## Description (the employer's text)

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Aapna%3A8FF9F047B3 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.