AI Data Annotation Practice Project
Project involved annotating and reviewing e-commerce text data to support AI model training and quality improvement tasks. Performed text classification and quality checks on product-related content, applying predefined labeling guidelines to maintain consistency and accuracy. Reviewed records for ambiguous cases, corrected inconsistencies, and ensured labels aligned with established criteria. Gained hands-on experience with data quality review, attention to detail, and structured annotation workflows.