Data Operations Technician
Listed on 2026-05-17
-
IT/Tech
Data Scientist, Data Entry
Duration: 3-month contract with the possibility for extensions
Pay Rate: $25/hr - $30/hr
Targeted
Start Date:
ASAP
- 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.
- 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.
- Strong experience operating Meta Quest 3 headsets
- Experience troubleshooting and documenting technical errors
- Intermediate Python programming language experience
- Prototest environment experience
Insight Global is looking for a contract Data Operations Technician to work at one of the world's leading technology companies. 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 role will spend their day on‑site preparing and operating devices, following detailed protocols to generate and log data, performing initial quality checks, and using internal tools to annotate or review data. The role involves repetitive but detail‑oriented tasks, close collaboration with team members, and regular communication with project leads to ensure high‑quality, consistent data for model training and evaluation.
- 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.
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