Quality Assurance Data Annotation Specialist
Validated question-answer pair annotations and document labeling consistency across datasets. Identified annotation inconsistencies, edge cases, and guideline compliance gaps. Applied rigorous quality standards to ensure labeled data met requirements for reliable AI model training. Documented findings clearly and collaborated on refinement of annotation guidelines. Brought systematic QA discipline from production software environments to AI training data work.