Posted:
5/8/2026, 9:55:10 AM
Location(s):
Foster City, California, United States ⋅ California, United States
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
Pay:
$103/hr or $214,240 total comp
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.
$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
Website: https://zoox.com/
Headquarter Location: Foster City, California, United States
Employee Count: 1001-5000
Year Founded: 2014
IPO Status: Private
Last Funding Type: Convertible Note
Industries: Autonomous Vehicles ⋅ Machine Learning ⋅ Robotics ⋅ Transportation