Independent AI Spatial Data Annotator
As an Independent AI Spatial Data Annotator, I performed precision 3D bounding box annotation and semantic segmentation on LiDAR point-cloud datasets. My main focus was on training AI models for depth, volume, and environmental perception within autonomous vehicle contexts. This role also involved cleaning and validating raw sensor data to ensure high-fidelity digital-twin environments for model training. • Executed 3D spatial logic through bounding box and segmentation tasks. • Labeled and validated LiDAR point-cloud data for spatial AI models. • Directly contributed to autonomous vehicle training datasets. • Ensured removal of sensor noise to preserve data integrity.