Data Collection Operator

Role Overview We’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. Project Details Location: 100% Onsite (Santa Clara, CA) Employment: Full time W-2, 5 days/week Morning Shift: 7:00 AM to 3:30 PM | $35/hour Night Shift: 3:30 PM to 12:00 AM | $38.50/hour Physical Commitment: Must be able to stand for several hours and carry up to 75 lbs. Start Date: ASAP Why This Role Matters The 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. What You’ll Do Operate physical AI data devices Execute structured tasks (e.g., navigation, pick/place, object interaction) across different environments Follow detailed instructions and adapt to evolving guidelines Capture and validate data (video, sensor inputs, task logs) during operation Identify and flag edge cases, failures, or unexpected system behavior Maintain consistency and accuracy across repeated task runs Partner with onsite teams (engineering, QA, program leads) to improve workflows Support fast iteration cycles as tasks, tools, and priorities evolve Basic Qualifications Bachelor’s degree or equivalent work experience Experience with gaming, simulation tools, or technical systems is a plus Strong hand-eye coordination and spatial awareness Comfortable using controllers, keyboards, or specialized interfaces for extended periods Basic computer skills, including PC and Linux troubleshooting. Working knowledge of MS Office and Google Drive Ability to follow detailed procedures with high accuracy Clear written and verbal communication skills Preferred Qualifications Exposure to robotics, autonomous systems, drones, or simulation environments Experience with teleoperation, remote control systems, or QA/testing workflows Familiarity with data collection, logging, or annotation processes Ability to quickly learn new software applications Interest in AI, robotics, or emerging technologies Experience working in structured, metrics-driven environments Work Environment & Physical Requirements Onsite lab environment (robotics lab, warehouse, or simulated real-world setup) Must be able to stand for extended periods during shifts Must be able to occasionally lift and/or move up to 75lbs Repetitive task execution with a focus on consistency and quality Fast-paced environment with frequent updates to tasks and workflows #J-18808-Ljbffr Welo Data