Part-Time Student Worker - Labeling Technician

About Zoox

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer, more sustainable, and accessible to everyone. At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

About Our Part Time Student Worker Program

Zoox's program offers hands-on experience with cutting-edge technology, mentorship from some of the industry's brightest minds, and the opportunity to make meaningful contributions to real projects. We seek part time student workers who demonstrate strong academic performance, engagement beyond the classroom, intellectual curiosity, and a genuine interest in Zoox's mission.


Project Overview

Zoox's Cartography team is responsible for building, curating, and maintaining high-definition road networks. This includes expanding our geofence, validating the accuracy of annotated data, and responding to "world change" events to ensure our maps remain up-to-date.

As a Labeling Technician (3-month contract), you'll play a key role in creating and validating semantic road network data, ensuring map content aligns with real-world geometry, and collaborating with cross-functional teams to maintain the integrity of our mapping system. We're looking for detail-oriented, analytical students who excel at precision work and can thrive in a fast-paced, collaborative environment.

In this role, you will:

• Create and maintain Zoox's semantic road network data.
• Ensure our map content aligns with road geometry and adheres to established content requirements.
• Validate road network data for accuracy, correctness, and consistency with real-world conditions.
• Meet deadlines and contribute to high-stakes company goals.
• Collaborate cross-functionally to troubleshoot and resolve mapping-related issues.
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Qualifications

• Strong attention to detail and commitment to data accuracy
• Excellent time management and communication skills with the ability to meet critical deadlines
• Strong problem-solving skills and the ability to interpret spatial data
• Team-oriented with the ability to work independently and collaboratively
• Actively enrolled in a 2-year or 4-year college program pursuing a certificate or degree in a related field

Bonus Qualifications

• Work or school experience in data labeling, annotation, or quality assurance
• Experience with mapping, cartography, or map content validation
• Passion for autonomous vehicle technology and geospatial data

Program Requirements

• Currently pursuing a B.S. or M.S
• Available for a 6 month project
• Able to commit to at least 20 hours per week
• Ability to commute on-site to one of our offices
• Student Worker may not use proprietary Zoox information in university theses, publications, or share it outside.

$30 per hour.


This is a contract position and employment for this position will be through a vendor contracted through Zoox. The hourly range is posted and you will be eligible for a benefits package as offered by the vendor


About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.