Geospatial Labeling Specialist

Our 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.

We are looking for a detail-oriented and highly motivated professional with strong analytical skills and a passion for precision. The ideal candidate is adept at managing time effectively, communicating clearly, and working independently and collaboratively to support the integrity of our mapping system.

Key Responsibilities

• Create and maintain our 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.
  

Core Competencies

• Quality of Work – Strong attention to detail and commitment to data accuracy.
• Time Management – Ability to meet critical deadlines in a dynamic environment.
• Communication – Clear and effective communication with internal teams.
• Autonomy – Ability to work independently while ensuring alignment with team objectives.
• Teamwork – Collaborative mindset with a willingness to support team success.
• Knowledge Comprehension – Strong ability to interpret, analyze, and apply mapping data effectively.

Requirements

Qualifications

• 2 years of relevant work experience.
• Experience in a fast-paced work environment with adaptability to changing priorities.
• Strong problem-solving skills and ability to interpret spatial data for informed decision-making.

Bonus Qualifications

• Bachelor’s degree (BS/BA)
• Prior experience in data labeling, annotation, or quality assurance.
• Background in mapping, cartography, or map content validation.
• Passion for autonomous vehicle technology and geospatial data.