Scientific Data Annotator / Geospatial AI Trainer (Noel Kempff Mercado Natural History Museum)
Conducted structured annotation and classification of ecological, biodiversity, and geospatial datasets for scientific research purposes. Performed detailed labeling, review, and quality checks on environmental and spatial data following technical guidelines. Supported research teams by ensuring consistency and accuracy in annotated biological data for AI training and modeling. • Ecological classification based on imagery and scientific indicators • Structured annotation of biodiversity information • Quality assurance in labeled geospatial data • Contribution to AI-enabled environmental knowledge projects