Data Collection Operator

Data Collection OperatorWe're hiring data collection operators to support physical AI programs. In this role, you'll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You'll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how physical AI devices learn and perform.What You'll DoOperate physical AI data devicesExecute structured tasks (e.g., navigation, pick/place, object interaction) across different environmentsFollow detailed instructions and adapt to evolving guidelinesCapture and validate data (video, sensor inputs, task logs) during operationIdentify and flag edge cases, failures, or unexpected system behaviorMaintain consistency and accuracy across repeated task runsPartner with onsite teams (engineering, QA, program leads) to improve workflowsSupport fast iteration cycles as tasks, tools, and priorities evolveWhat Good Looks LikeHigh consistency and repeatability across tasksStrong attention to detail and ability to follow structured instructionsComfortable learning new tools and working with physical systemsGood judgment in identifying issues and escalating clearlyReliable in fast-paced, changing environmentsBasic QualificationsBachelor's degree or equivalent work experienceExperience with gaming, simulation tools, or technical systems is a plusStrong hand-eye coordination and spatial awarenessComfortable using controllers, keyboards, or specialized interfaces for extended periodsBasic computer skills, including PC and Linux troubleshooting.Working knowledge of MS Office and Google DriveAbility to follow detailed procedures with high accuracyClear written and verbal communication skillsPreferred QualificationsExposure to robotics, autonomous systems, drones, or simulation environmentsExperience with teleoperation, remote control systems, or QA/testing workflowsFamiliarity with data collection, logging, or annotation processesAbility to quickly learn new software applicationsInterest in AI, robotics, or emerging technologiesExperience working in structured, metrics-driven environmentsWork Environment & Physical RequirementsOnsite lab environment (robotics lab, warehouse, or simulated real-world setup)Must be able to stand for extended periods during shiftsMust be able to occasionally lift and/or move up to 75lbsRepetitive task execution with a focus on consistency and qualityFast-paced environment with frequent updates to tasks and workflowsWhy This Role MattersThe data generated in this role directly impacts how physical AI systems learn to operate in the real world. Strong execution here leads to better, safer, and more reliable autonomous systems.