Data Annotator
On-site · San Francisco, California, United States or Sunnyvale, California, United States
Job Summary
Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation. Identify, label, and classify objects and environmental details according to strict project instructions and taxonomies. Label static road features and traffic landmarks to assist in the creation of High-Definition (HD) maps. While the worker is scheduled for training, the Consultant must take full ownership of their responsibilities given the expected length of the assignment. Commit to ongoing education to stay updated on the latest developments in data management, AI/ML goals, and new annotation platforms. You will be at the forefront of AI development, transforming raw sensor data into high-quality training sets for our self-driving algorithms. Work closely with engineers to refine labelling guidelines and improve model performance.
Required Qualifications
- Essential Qualifications: Proven proficiency in LiDAR or Point Cloud systems, or alternatively, a relevant undergraduate degree demonstrating superior 3D spatial reasoning.
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