IG
United States-Data Annotator
IMCS Group Inc
🇺🇸 United States
On-site
3 days ago
- LiDAR
- GIS
3 days ago
Not enough detail in this posting to match
Map Annotator Job Description
We are looking for a highly skilled HD Map Data Annotator to join our AV Labs. In this role, you
will be at the forefront of AV development, transforming raw sensor data into the foundational,
high-fidelity maps that our self-driving algorithms rely on to navigate safely. You will focus
primarily on static map generation and HD map labeling, handling complex tasks ranging from
tracing drivable boundaries in point clouds to defining complex intersection topologies and traffic
logic. The ideal candidate is a detail-oriented spatial thinker who understands that the safety
and routing logic of autonomous systems start with the absolute precision of their underlying
maps.
Responsibilities
● Static Map Generation: Annotate and construct foundational static map layers using 3D
visual data (LiDAR/Point Cloud) and 2D high-resolution aerial or vehicle camera
imagery.
● HD Map Labeling: Precisely label and classify static road features, including lane
boundaries, centerlines, road edges, crosswalks, stop lines, and drivable surface areas.
● Topological Mapping: Build and verify complex intersection topologies, linking
incoming/outgoing lane segments and defining vehicle trajectories for turn logic.
● Semantic Attribution: Tag map elements with critical metadata, such as speed limits,
turn restrictions, vehicle class restrictions, and lane types (e.g., HOV, bike lanes).
● Traffic Landmark Association: Identify traffic lights and road signs, accurately
associating them with their corresponding drivable lanes to ensure correct right-of-way
logic.
● Auto-Map Refinement: Validate, correct, and refine auto-generated static maps, fixing
algorithmic edge cases and ensuring centimeter-level precision.
● Quality Assurance: Conduct rigorous reviews of annotated map data to ensure
topological accuracy, logical consistency, and "pixel-perfect" quality.
● Cross-functional Collaboration: Work closely with mapping and localization engineers
to refine labeling guidelines, report sensor alignment issues, and improve auto-mapping
model performance.
● Operational Excellence: Strictly follow complex project instructions, meet established
deadlines, and achieve production KPIs without compromising on quality.
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.
● Comfortable working on-site 5 days a week.
EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.
United States-Data Annotator · IMCS Group Inc