QC Lead - Physical AI Video Annotation
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.
Company: Arctic Engines
Requirement: 1
Location: Bengaluru (Work from office - Domlur | 6 days)
Employment: Full-time
Experience: 3+ years in video annotation quality assurance, including team leadership
Joining: Immediate joiners preferred
Requirement: 1
CTC:
About the role
We are looking for a QC Lead to own annotation quality for egocentric industrial video datasets. You will define review standards, lead the QC team, identify recurring errors, and ensure that delivered annotations meet project requirements.
Requirements
Responsibilities
- Lead reviewers and establish calibration, review, feedback, and rework processes.
- Audit video chunking, temporal action boundaries, keypoint annotations, action labels, and natural
