Data Annotation Specialist / AI Prompt Designer (Annotation QA Lead) at Centific (Remote)
Executed field-level annotation QA and model validation across 500+ data points per week, maintaining 98%+ accuracy on multi-domain AI research tasks over 2 years. Designed and delivered 200+ structured annotation tasks and evaluation prompts grounded in government, public administration, and compliance workflows. Performed data cleansing and validation against source documents, detecting value mismatches, data type errors, missing fields, and structural violations with high throughput and minimal rework.• Achieved consistent senior reviewer pass rates through constructive QA feedback and defect reporting.• Identified, categorized, and escalated edge cases and ambiguous annotations using structured documentation.• Grounded annotations with publicly available government records and policy documents to improve contextual accuracy.• Used Google Suite and Excel for task management, data organization, and structured reporting.