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Innodata is building a motion capture facility and seeks a hands-on technologist to run the optical system, calibrate daily volumes, and fit markers for full-body and finger capture. You will design capture scenarios, direct performers, and manage the data pipeline from raw capture to cleanup and export in BVH and FBX formats, ensuring precision and documented calibration bounds.
Join a lab shared with robotic hardware and contribute to scalable data workflows using Python, Shogun, and NVIDIA
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.
Innodata is building a motion capture facility to produce the fine-grained human motion data that physical AI and world models require, data that no public dataset provides. The physical build begins in mid-2026, and this person will help stand it up and then run it day to day. The role is roughly half infrastructure and operations, half creative direction of capture sessions. You will own the equipment, the capture pipeline, and the quality of what comes off the stage. You do not need to be a roboticist, but you will be comfortable working in a space shared with robotic hardware.
The expected salary range for this position is $120,000 – $160,000 USD per year, based on experience, skills, and qualifications.