Description
We're hiring data collection operators to support physical AI programs. In this role, you'll operate physical AI data collection systems 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.
Key Responsibilities:
- Operate physical AI data devices, including teleoperating bimanual robotic arms 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.
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
- 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.
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
Additional Information:
- 100% onsite in Palo Alto, CA
- 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.