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 language descriptions
- Check timestamp accuracy, coverage, label consistency, and the correctness of descriptions against the video
- Define QC checklists and sampling plans; track error rates, reviewer agreement, rejection trends, and quality improvements
- Resolve ambiguous cases, update guidelines, and coach annotators and reviewers
- Validate structured outputs and work with tooling teams to address workflow or export issues **Requirements*
*
- Direct experience with industrial video, robotics, or Physical AI datasets is mandatory.*
*
- Hands-on expertise in egocentric video annotation, temporal action segmentation, keypoint annotation, action taxonomies, and timestamped descriptions
- Experience leading annotation QC teams and creating transparent guidelines and calibration examples
- Ability to analyze errors, run root-cause reviews, and turn findings into corrective action
- Familiarity with video annotation tools and structured outputs such as JSON or CSV Apply through this platform with your CV and a brief summary of the video annotation QC programs you have led.

📌 QC Lead (Bengaluru)
🏢 apna
📍 Bengaluru