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Job Title: Data Annotator
Job Location: Sunnyvale, CA 94086
Job Type: Contract
Job Duties:
- Annotate and construct foundational static map layers using 3D visual data (LiDAR/Point Cloud) and 2D high-resolution aerial or vehicle camera imagery.
- Precisely label and classify static road features, including lane boundaries, centerlines, road edges, crosswalks, stop lines, and drivable surface areas.
- Build and verify complex intersection topologies, linking incoming/outgoing lane segments and defining vehicle trajectories for turn logic.
- Tag map elements with critical metadata, such as speed limits, turn restrictions, vehicle class restrictions, and lane types (e.g., HOV, bike lanes).
- Identify traffic lights and road signs, accurately associating them with their corresponding drivable lanes to ensure correct right-of-way logic.
- Validate, correct, and refine auto-generated static maps, fixing algorithmic edge cases and ensuring centimeter-level precision.
- Conduct rigorous reviews of annotated map data to ensure topological accuracy, logical consistency, and "pixel-perfect" quality.
- Work closely with mapping and localization engineers to refine labeling guidelines, report sensor alignment issues, and improve auto-mapping model performance.
- Strictly follow complex project instructions, meet established deadlines, and achieve production KPIs without compromising on quality.
Job Requirements:
- Bachelor’s degree; a background in GIS, Geography, Urban Planning, or possess
- 3+ years of relevant data annotation experience.
- Proven experience in data annotation specifically within the Autonomous Driving sector, with a strong emphasis on HD mapping or static environment labeling.
- Hands-on experience working with 3D/2D annotation tools, specifically navigating and manipulating LiDAR point clouds and orthophotos.
- Exceptional spatial awareness and the ability to understand complex road network structures, traffic rules, and lane connections.
- Strong knowledge of computer basics, data management techniques, and data analysis platforms.
- A proven track record of finding subtle anomalies (e.g., misaligned point clouds, conflicting lane logic) and following specific guidelines without subjective interpretation.
- Mental agility and the ability to pivot quickly between different geographic locations, mapping rulesets, and project types.
- 3+ years of experience in HD Map Labeling.
Schedule:
- 8 AM - 5 PM
- Morning Shift
- Flexible 40 hours/week
Pay: $35.00 - $40.00 per hour
Experience:
- relevant data annotation : 3 years (Required)
- HD Map Labeling: 3 years (Required)
- D/2D annotation tools: 1 year (Required)
Work Location: In person
