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QC Lead - Physical AI Video Annotation

Apna (apna.co)BangalorePosted a month ago
  • Manager
  • On-site
  • Full time
  • 3+ years
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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

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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