Data Operations Technician

Role: Data Operations Technician

location: Redmond, WA

Onsite role

3 months

Job Summary

As a Data Operations Technician, you will join the Product Data Operations team in Burlingame and Redmond to support 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.
• Scaled data collection experience with physical device research teams
• Strong attention to detail and ability to follow complex protocols.
• Comfort with repetitive tasks and ability to maintain focus and accuracy.
• Demonstrated computer literacy and the ability to confidently execute well-documented tasks on computers, including running python scripts and using data entry or annotation tools.
• Ability to work collaboratively in a fast-paced, on-site team environment.
• Willingness to learn and adapt to new tools and processes.

Must-Have Skills:

• Ability to follow precise protocols and maintain high data quality standards during repetitive tasks.
• Comfort with operating and troubleshooting AR/VR devices (such as Quest 3 headsets) and basic computer literacy for using internal data tools.
• Ability to identify workflow inefficiencies, suggest improvements, and contribute feedback to enhance operational protocols and tools.
• Proven track record of showing up on time, executing assigned tasks accurately, and maintaining productivity in a structured lab environment.

Nice-to-have Skills :

• Prior hands-on experience working with robotics, AR/VR hardware, or similar technical equipment.
• Familiarity with data labeling, annotation platforms, or quality assurance processes in a research or product development setting.
• Familiarity with simple data analysis techniques or scripting (e.g., using Excel, Python, or similar tools) to help validate data quality, automate routine tasks, or generate basic reports.