Robotics Data Trainer, On-Site- Contract
Core
Operate a handheld UMI gripper device to perform repetitive manipulation tasks (picking up objects, opening containers, household actions) to generate high-quality data for training next-generation AI robot learning models.
Role type
Data collection operator (robotics)
Builds
Real-world manipulation datasets for robot learning models
Domain
Robotics / AI training data collection
Deliverable
production ML models
Required skills
fine motor control, attention to detail, ability to follow instructions exactly, comfort with repetitive tasks, hands-on work, physical stamina, reliability, quick learning of basic hardware
Preferred skills
dexterity, precision handling, endurance for extended focus, troubleshooting minor technical issues, background in hands-on work (warehouse, operations, gig work)
Responsibilities
Operate handheld UMI gripper for repetitive manipulation tasks, follow detailed written protocols with exactness, reset physical environments between attempts, verify data submission quality, detect and communicate hardware malfunctions or irregularities, document observations and report issues
Seniority
Individual Contributor, entry-level to mid-level