Geospatial Lab Assistant
Labeled and validated satellite and aerial imagery to train machine learning models, ensuring feature accuracy and spatial consistency. Applied advanced cartographic techniques to create polygons and other shape-based annotations in challenging remote sensing data. Conducted quality assurance, detected errors, and addressed complex edge cases in ambiguous imagery. • Proficient human-in-the-loop workflows for geospatial AI training • Applied detailed QA for consistency across map tiles and time frames • Used contextual clues to interpret feature boundaries under uncertainty • Maintained audit trails and documentation for annotation decisions