Job Opportunities API

Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. 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 recruitment funnel capable of sourcing and onboarding 10,000+ participants at scale across US, LatAm, and developed Asia markets Partner with recruiting channels — crowd work agencies, BPO and workplace partners