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 supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.

Location: Palo Alto, CA — 100% onsite

Type: Full-time, short-term W-2 employee

Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts

Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed)

Start: ASAP

Compensation: US$35/hour

Work authorization: Must be authorized to work onsite in the U.S.

Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs.

Perform human robot interaction tasks per script, including gestures and object handovers.

Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently.

Coordinate closely with your station partner to maintain timing, consistency, and safety.

Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries.

Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures.

Support fast iteration cycles as tasks, tools, and priorities evolve.

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

Detail oriented, reliable, and consistent in repetitive, process-driven work.

Clear communication and teamwork; receptive to coaching and feedback.

Prior teleoperation/robotics or lab data collection experience preferred; training provided.

Basic computer skills for simple logging and spreadsheets.

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