AI Trainer & Data/Geospatial Annotator — CloudFactory (Remote)
Served as an AI Trainer and Data/Geospatial Annotator performing high-precision computer vision dataset labeling for 2D imagery and 3D point cloud inputs. Produced semantic and instance segmentation annotations, including pixel-level labeling, to support model training and evaluation. Ensured dataset readiness by auditing annotations against project guidelines and QA metrics. • Labeled 2D imagery and 3D LiDAR/Point Cloud data using polygons, cuboids, and related spatial annotation formats. • Maintained an annotation accuracy score of 98% or higher to meet or exceed QA requirements. • Reviewed model-ready outputs, corrected labeling errors, and documented quality improvement recommendations. • Evaluated labeled datasets for completeness, consistency, and reliability prior to downstream use.