# Operations Lead - Physical AI Video Annotation at apna

> India · Staff · Other · open. Source: https://alderhq.app/jobs/workable%3Aapna%3ACA74CFF6FE (read 2026-11-08).

## Facts (observed)

- Company: [apna](https://alderhq.app/companies/apna)
- Location text: Bengaluru, Karnataka, India
- Where it can be done from (inferred): India (evidence: "Location lists "bengaluru"")
- Posted: 2026-10-03 (36 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/CA74CFF6FE

## Pay and sponsorship

- Posted pay: ₹4.8L–₹5.4L per year (from the description)
- Market band for similar posted roles (Bengaluru, n 7): p25 ₹31.3L, median ₹64.8L, p75 ₹114L

## Description (the employer's text)

### 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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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Aapna%3ACA74CFF6FE and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.