AI data annotation work for satellite imagery projects and evaluation on OneForma (Benjamin AI)
Annotated satellite imagery for object/building detection using SAM model outputs and performed precise boundary labeling and quality checks. Reviewed annotation consistency against project guidelines and corrected errors to ensure reliable training data quality. Coordinated work for high-volume labeling and evaluation tasks to meet platform scoring targets.• Used SAM (Segment Anything Model) for generating segmentation candidates.• Produced building segments from satellite imagery with careful verification.• Achieved 96.7% evaluation score on Benjamin AI project work.• Conducted QA checks aligned with MQM-style quality expectations.