Operations Lead - Physical AI Video Annotation in… - Jobeax
Vacancy description
Operations Lead - Physical AI Video Annotation in Bangalore, भारत
Apna
Full-timeStandard weekly hours
ContractFixed-term or freelance
Rs 40000 - Rs 45000 per month
Bangalore, भारत
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
Location: Bengaluru (Work from office - Domlur | 6 days)
Employment: Full-time
Experience: 5+ years in AI data or video annotation operations
Compensation: ₹40,000–₹45,000 per month
Joining: Immediate joiners preferred
About the role
We are looking for an Operations Lead to run large-scale egocentric video annotation programs. You will own workforce planning, daily production, freelancer management, and on-time delivery.
Requirements
Responsibilities
Manage a workforce of **100+ annotators, reviewers, and team leads**, including freelancers.
Own sourcing support, onboarding, training coordination, scheduling, task allocation, and performance management.
Build capacity and production plans; track productivity, utilization, turnaround time, and delivery against targets.
Coordinate annotation and QC workflows, resolve operational blockers, and manage rework.
Maintain SOPs, production trackers, and client-ready progress reports.
Partner with product and tooling teams to improve task assignment, review queues, and workflow efficiency.
Requirements
Proven experience managing a **100+ person annotation workforce**, including distributed freelancers.
Direct experience with industrial video, robotics, or Physical AI datasets is mandatory.**
Working knowledge of egocentric video annotation, chunking, temporal action segmentation, action labels, keypoints, and natural language descriptions.
Strong skills in workforce planning, delivery management, reporting, escalation handling, and stakeholder communication.
Comfortable with annotation platforms, spreadsheets, dashboards, and structured data outputs.
Apply through this platform with your CV and a brief summary of the largest annotation team and program you have managed.
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