# Operations Lead - Physical AI Video Annotation

**Company:** [Apna](https://jobs.workable.com/companies/oGcPwdAqKGbezdH7GyyVKX.md)
**Location:** Bengaluru, India
**Workplace:** on site
**Department:** Operations

[Apply for this job](https://jobs.workable.com/view/c817e7e5-e7c7-4f56-881e-1aa8644307bc)

## 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.**