Senior Data Quality & AI Training Specialist
Developed and validated high-quality datasets to support AI model training for structured and unstructured inputs. Conducted annotation review and quality assurance for text classification, entity extraction, and semantic labeling tasks. Identified labeling inconsistencies and applied corrective guideline updates that improved annotation accuracy by 30%. • Reviewed annotations against taxonomy and labeling guidelines • Ensured consistency, completeness, and usability for downstream training • Evaluated model-generated outputs and provided corrective feedback for retraining • Used SQL and Python to clean, normalize, and transform datasets for ML readiness