VR Data Collection Operator for Robotics Research

Tundra Technical Solutions; Menlo Park (CA); On-site; USD 60,000 - 85,000; Full time

Job summary

Tundra Technical Solutions in Menlo Park, CA is seeking reliable Data Operators to join a cross-functional robotics team. You will collect high-quality embodied data using VR headsets, following strict protocols to train next-generation spatial models.

The role is full-time and on-site, with daily data uploads, session logging, and collaboration with researchers and engineers. A bachelor’s degree and 0–3 years of experience are required.

Qualifications

• Attention to detail and ability to follow instructions precisely.
• Proficiency with mobile apps, consumer electronics, and VR headsets.
• Physical stamina to stand, move, and work with a headset for long periods.
• Reliability and strong time management to meet daily/weekly data delivery.
• Clear communication to report issues and ambiguities.
• Data security, privacy, and confidentiality awareness.
• Adaptability to evolving protocols and tasks.

Responsibilities

• VR Data Collection: wear headset and perform tasks per protocol to collect data.
• Daily Data Uploads: securely upload data with proper tagging.
• Quality Assurance: self-audit sessions for completeness and quality.
• Session Logging: maintain records of sessions, IDs, anomalies.
• Issue Reporting: escalate hardware or protocol issues promptly.
• Protocol Refinement: provide feedback to improve protocols.
• Cross-Functional Collaboration: work with researchers and engineers.
• Equipment Care: charge, clean, and store VR gear daily.

Skills

Attention to Detail

Technology Proficiency

Physical Stamina

Reliability & Time Management

Clear Communication

Data Handling Awareness

Adaptability

Education

Bachelor's degree

Tools

VR headset

Proprietary data app

Job description

Tundra Technical Solutions in Menlo Park, CA is seeking reliable Data Operators to join a cross-functional robotics team. You will collect high-quality embodied data using VR headsets, following strict protocols to train next-generation spatial models.

The role is full-time and on-site, with daily data uploads, session logging, and collaboration with researchers and engineers. A bachelor’s degree and 0–3 years of experience are required.