Senior Computer Vision Engineer
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Lead quality assurance for egocentric industrial video annotation, managing reviewer teams and establishing calibration, feedback, and rework processes. Requires 3+ years in video annotation QC with team leadership experience, including hands-on expertise in temporal action segmentation, keypoint annotation, and egocentric video datasets. Track error rates, define checklists, resolve ambiguous cases, and coach annotators to meet project standards. Full-time, office-based in Bengaluru, six days weekly, immediate joiners preferred.
Written from this posting by Neural Jobs AI. The full description is below.
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
Requirements
Apply through this platform with your CV and a brief summary of the video annotation QC programs you have led.
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