Video Annotator - Physical AI

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.