Operations Lead - Physical AI Video Annotation

Apna

Bengaluru

On-site

INR 446,000 - 502,000

Full time

4 days ago
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Job summary

Arctic Engines, part of the Apna Group, is seeking an Operations Lead to run large-scale egocentric video annotation programs from Bengaluru. You will own workforce planning, daily production, freelancer management, and on-time delivery.

Responsibilities include managing a 100+ annotators workforce, onboarding and training coordination, capacity planning, and production tracking. You will collaborate with product and tooling teams to improve assignment workflows and ensure client-ready progress

Qualifications

  • Proven experience managing a 100+ person annotation workforce.
  • Direct experience with industrial video, robotics, or Physical AI datasets is mandatory.
  • Experience with egocentric video annotation, chunking, temporal action segmentation, and 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.

Responsibilities

  • Manage a workforce of 100+ annotators, reviewers, and team leads, including freelancers.
  • Own sourcing, 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 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.

Skills

Workforce planning
Delivery management
Stakeholder communication
People management
Operational excellence

Tools

Annotation platforms
Spreadsheets
Dashboards

Job description

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.

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.
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