Data Operations Technician

Insight Global; Burlingame (CA); On-site; USD 27,552 - 41,328; Part time

Job summary

A technology staffing agency is seeking a candidate in Burlingame, CA for a 5-month contract role focusing on AR/VR devices. The successful applicant will operate devices, follow protocols, and log data while collaborating with team members. Ideal candidates will have experience in technical environments, attention to detail, and computer literacy including familiarity with running python scripts. This engaging position offers a chance to contribute to cutting-edge robotics and AR/VR projects.

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.

Responsibilities

• Prepare and operate devices following detailed protocols.
• Generate and log data, performing initial quality checks.
• Collaborate closely with team members on data annotation.

Skills

Experience with AR/VR devices

Attention to detail

Data collection

Computer literacy

Running python scripts

Job description

Location: Burlingame, CA or Redmond, WA (Meta Reality Labs)

Duration: 5 month contract (potential to extend)

Project: Working on Robotics & AR/VR Devices

Client: Meta

Compensation: $20-30/hour

Desired Experience

• 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.

Day-to-Day Responsibilities

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.