Image & Spatial Data Annotator — Scale AI (Remote)
Performed image annotation for architectural and urban imagery used in downstream model training. Applied bounding boxes, polygon segmentation, and object classification to built-environment scenes. Maintained consistent throughput aligned to project SLAs while supporting QA audits. • Drew bounding boxes for relevant objects in architectural/urban imagery. • Created polygon segmentations for spatially precise labeling. • Labeled objects with domain-informed classification categories. • Ensured low error rates through QA checks and SLA adherence.