Quick overview
Job description
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 robots learn and perform.
Project Details
- Location: San Francisco, CA — 100% onsite
- Type: Full-time, short-term W-2 employee
- Schedule: Full-time; 8 hours/day, 5 days/week. 7:00 AM to 3:00 PM
- Duration: 6 weeks with possibility of extension
- Start: ASAP
- Compensation: US$36/hour
- Work authorization: Must be authorized to work onsite in the U.S.
Key responsibilities
-
Operate robotic systems through VR or headset controls, robotic interfaces, and other teleoperation equipment
-
Execute assigned data collection tasks to established procedures, maintaining consistency, accuracy, and data quality
-
Troubleshoot basic hardware and connectivity issues
-
Document issues and escalate technical failures to the appropriate teams
-
Adapt to changes in workflows, equipment configurations, and procedures
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Comply with your safety, security, and operational requirements
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
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