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Data Annotation

Operations Lead - Physical AI Video Annotation

About the role

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.

From Arctic Engines's job posting, checked Oct 30, 2026. The employer's own page is the final word on requirements and availability.

The application

Your details and CV, then 12 questions (1 written).

Have readyCV
  1. 1.
    HeadlineShort answer · optional
  2. 2.
    EducationShort answer · optional
  3. 3.
    ExperienceShort answer · optional
  4. 4.
    SummaryWritten answer · optional
  5. 5.
    How many people have you directly managed in an AI Data / Video Annotation operation?Pick any: 6521723 · 6521724 · 6521725 · 6521726
  6. 6.
    Have you managed freelancers or a distributed annotation workforce?Pick any: 6521727 · 6521728 · 6521729
  7. 7.
    Do you have direct experience in Robotics, Physical AI, Industrial Video, or similar datasets?Pick any: 6521730 · 6521731 · 6521732
  8. 8.
    What type of video-data operations have you primarily managed?Pick any: 6521733 · 6521734 · 6521735 · 6521736 · 6521737
  9. 9.
    Which operational metrics have you owned?Pick any: 6521738 · 6521739 · 6521740 · 6521741
  10. 10.
    Have you independently planned workforce capacity against production targets?Pick any: 6521742 · 6521743 · 6521744
  11. 11.
    What is your experience with annotation platforms, dashboards and operational trackers?Pick any: 6521745 · 6521746 · 6521747 · 6521748
  12. 12.
    What is your current notice period?Pick any: 6521749 · 6521750 · 6521751 · 6521752

From Arctic Engines's apply page, checked Oct 30, 2026.

About Arctic Engines

The human-data arm of India's Apna Group hires onsite video collectors, freelance video annotators and annotation leads for its physical-AI egocentric video programs.

How it pays: The Operations Lead and QC Lead are full-time posts; the Video Annotator is freelance, paid per video hour. The postings state no payment schedule.

From our research: Embodied-AI Data Annotation market (market report)

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