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Lead large-scale egocentric video annotation operations managing 100+ annotators, reviewers, and freelancers across workforce planning, production tracking, quality control, and on-time delivery. Requires 5+ years in AI data or video annotation operations with proven experience managing similarly sized annotation teams, direct experience with industrial video or Physical AI datasets, and working knowledge of egocentric video annotation techniques including temporal action segmentation and keypoint labeling. Based in Bengaluru, office work 6 days weekly. ₹40,000–₹45,000 monthly.

Written from this posting by Neural Jobs AI. The full description is below.

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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.

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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  • Role Operations Lead - Physical AI Video Annotation
  • Experience 5-7 years
  • Work type On-site
  • Location India
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Apna
Consumer Apps & Media · 500+ Members · Bengaluru, India

Apna is a Bengaluru-headquartered jobs and professional-networking platform.

Apna connects employers with frontline, entry-level, and professional talent through job discovery, hiring tools, communities, assessments, and career resources.

71 more Business Operations roles in Bengaluru

Job Overview
Eligibility
India Right to work in India required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Experience
5-7 years

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