QC Lead - Physical AI Video Annotation
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About the role
Arctic Engines provides training data, RLHF, and human feedback pipelines for AI models. The QC Lead will oversee annotation reviews, standards, error analysis, and quality processes for industrial video datasets.
What you'll do
- Lead reviewers and establish calibration, feedback, and rework processes
- Audit video chunking, action boundaries, keypoints, labels, and descriptions
- Check timestamp accuracy, coverage, and label consistency
- Define QC checklists and sampling plans, and track quality metrics
- Resolve ambiguous cases, update guidelines, and coach annotators
- Validate structured outputs and address workflow or export issues
Skills
Must have
- Video annotation quality assurance
- Industrial video annotation
- Egocentric video annotation
- Temporal action segmentation
- Keypoint annotation
- Action taxonomies
- Quality control
- Root-cause analysis
Tools
- Json
- Csv
Who it's for
- Experience
- 3+ years
- Domain
- ai training data
About Apna (apna.co)
Apna (apna.co) has 29 open roles in Bangalore, at Apna Bengaluru office. See every Apna (apna.co) role.
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