Operations & Project Management

Operations Lead - Physical AI Video Annotation

ApnaBengaluru, Karnataka🇮🇳India

Why this role stands out

As an Operations Lead at Arctic Engines, you'll drive critical AI video annotation programs, honing your leadership and project management skills within a rapidly growing unicorn backed by top investors. This role is perfect for experienced operations professionals ready to manage large teams and directly impact the development of cutting-edge AI models. Embrace this opportunity to build your career at the forefront of AI innovation and contribute to a dynamic team.

Quick overview

Salary₹40k - ₹45k/mo

SeniorityMid Senior

Work modeOn Site

LocationBengaluru, Karnataka, India

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.