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Robotics Teleoperator
Job
Capital Staffing Solutions
Burlingame, CA (In Person)
Full-Time
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Job Description
Job Summary As a Data Operations Technician, you will join the Product Data Operations team in Burlingame to support The Robotics Studio data collection and annotation projects. You will work directly with new and emerging VR/AR technologies, performing hands-on data collection, annotation, and quality assurance tasks. This is a full-time, on-site contingent worker (CWX) role managed directly by the Reality Labs Project Manager. Responsibilities Operate prototype devices to collect high-quality data in lab and simulated environments. Follow detailed protocols to perform complex data collection tasks, ensuring consistency and accuracy. Annotate and label collected data using internal tools and platforms. Participate in quality assurance (QA) activities, reviewing and validating data for accuracy and completeness. Collaborate with team members and project leads to orchestrate and optimize data collection sessions. Document procedures, issues, and findings as needed. Adhere to all safety, privacy, and confidentiality guidelines. Minimum Qualifications Experience with AR/VR devices, robotics, or similar hands-on technical environments. Strong attention to detail and ability to follow complex protocols. Comfort with repetitive tasks and ability to maintain focus and accuracy. Basic computer literacy; experience with data entry or annotation tools is a plus. Ability to work collaboratively in a fast-paced, on-site team environment. Willingness to learn and adapt to new tools and processes. Scope of Work and Deliverables Generate high-quality datasets following strict procedural instructions. Preferred Qualifications Strong experience operating Meta Quest 3 headsets Experience troubleshooting and documenting technical errors Roles & Responsibilities Operate and set up prototype robotics and XR devices (e.g., Quest 3 headsets) according to established protocols. Execute hands-on data generation tasks, ensuring accuracy and consistency. Annotate and review collected data using internal tools, maintaining high quality standards. Perform initial quality checks and flag issues for follow-up. Collaborate with team members and project leads to support data operations and troubleshoot device or process issues. Adhere to safety, privacy, and operational guidelines in all lab activities. #AJ1