Text Annotation Quality Review for AI Training
Performed quality assurance (QA) and review on text annotation tasks for AI training. Reviewed text classifications to ensure semantic accuracy, consistency, and strict guideline compliance. Identified labeling inconsistencies and edge cases, documented feedback, and supported continuous improvement of dataset quality in a remote, project-based environment.