Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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.
Compensation
$30 per hour.
This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.
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.
Qualifications:
Strong attention to detail and commitment to data accuracyExcellent time management and communication skills with the ability to meet critical deadlinesStrong problem-solving skills and the ability to interpret spatial dataTeam-oriented with the ability to work independently and collaborativelyActively enrolled in a 2-year or 4-year college program pursuing a certificate or degree in a related fieldBonus Qualifications:
Work or school experience in data labeling, annotation, or quality assuranceExperience with mapping, cartography, or map content validationPassion for autonomous vehicle technology and geospatial data