Data Annotation & AI/ML Data Training (Generalist)
Experienced in data annotation and AI/ML training through reviewing and validating labeled datasets to improve model accuracy and reduce bias across NLP workflows. Work included tagging and categorising large volumes of text data with a strong focus on precision and consistency during iterative feedback cycles. Contributions support evidence-based ML development and quality control for downstream modeling. • Text annotation for NLP, including labeling/tagging and categorization • Validation and quality checking of existing labels prior to model training • Bias reduction through careful review against labeling guidelines • Iterative refinement via feedback loops to improve label quality