Operations
₹40,000 – ₹45,000 / mth base salary
Posted 3 Oct 2026
Advertised as “Operations Lead - Physical AI Video Annotation”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Contract
- Full-time
| Base salary | ₹40,000 – ₹45,000 / mth |
|---|
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.