# Video Annotator - Physical AI

**Company:** [Apna](https://jobs.workable.com/companies/oGcPwdAqKGbezdH7GyyVKX.md)
**Location:** Remote
**Workplace:** remote
**Department:** Operations

[Apply for this job](https://jobs.workable.com/view/b5f9f9c5-967a-47b0-bdcc-9506d8c0a15d)

## Description

**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.