RemoteOther

Video Annotator - Physical AI

ApnaIndia🇮🇳India

Why this role stands out

This remote role offers a fantastic opportunity to contribute to cutting-edge Physical AI development with a highly reputable company, backed by a leading unicorn. If you have a strong background in video annotation for Physical AI or robotics, you'll thrive in this position, leveraging your skills to shape the future of AI. Apply now to join an innovative team and gain valuable experience in a growing field.

Quick overview

Salary₹750/hr

SeniorityMid Senior

Work modeRemote

LocationIndia

Robotics

Job 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.

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.