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Operations Lead - Physical AI Video Annotation

ApnaBengaluru, Karnataka🇮🇳IndiaPosted 3 Oct 2026

Quick Overview

Salary
₹40k - ₹45k/mo
Seniority
Mid Senior
Work mode
On Site
Location
Bengaluru, Karnataka, India
Posted
Yesterday

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.

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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