Robotics Data Collection Delivery Manager

Scope of the Role

The next frontier for AI is the physical world, and Innodata is building the data factory that powers Physical AI for frontier robotics and humanoid systems. As a Robotics Data Collection Delivery Manager, you will own end-to-end delivery of egocentric video data collection programs for some of the world's most innovative robotics clients — combining deep operational execution with a working knowledge of robotics architectures, data pipelines, and physical AI systems. This is a high-visibility role that directly influences strategic client relationships and Innodata's $100M practice opportunity in egocentric robotics data.

This is a ground-floor opportunity to build and lead a new practice area at Innodata at a moment when demand for egocentric robotics training data is accelerating rapidly. The person in this role will sit at the intersection of physical AI, large-scale data operations, and frontier robotics — with direct impact on a $100M practice opportunity and working relationships with some of the most innovative robotics companies in the world.

What You'll Own

Delivery & Operations

• Own end-to-end delivery of egocentric robotics data collection programs from kickoff through final hour acceptance, ensuring all client quality, diversity, and timeline targets are met
• Develop and maintain a standard collection playbook adaptable across clients with adjustable parameters — camera geometry, naturalism blend, mount type, regions — rather than rebuilt from scratch each engagement
• Build reusable delivery assets including SOPs, onboarding and training curricula, scorecards, rubrics, and tracking infrastructure shared across client programs
• Monitor daily project progress against hour targets and acceptance rates, identifying and resolving bottlenecks before they impact delivery
• Act on client QA feedback within 24 hours, relay actionable guidance to contributors, and drive measurable improvement across quality, diversity, and task adherence dimensions
• Collaborate closely with Robotics Solutions Engineers to ensure clean handoff from pre-sales design to delivery, aligning on scope, success metrics, and data collection execution plans

Robotics & Technical Fluency

• Develop a working understanding of client robotics architectures — including VLMs, VLAs, ACTs, world models, and manipulation policies — to translate model requirements into concrete data collection specifications
• Translate client technical requirements (camera geometry, IMU specifications, naturalism targets, egocentric capture pipeline standards, file format requirements) into clear contributor guidance and internal delivery standards
• Partner with clients’ robotics and ML teams to understand evolving data needs and proactively adjust collection programs to ensure dataset utility for model training
• Maintain fluency in egocentric capture best practices, sensor/rig configurations, and common failure modes (e.g. robotic movement, poor framing, low task diversity) to engineer quality upstream

Participant & Contributor Management

• Oversee a continuous contributor pipeline including recruitment, scheduling, task assignment, and performance management to ensure adequate supply for program demands