AI Training Data Labeling & Text Annotation
Completed data labeling and annotation practice projects focused on text classification, sentiment analysis, and content review for AI training datasets. Worked with English and Swahili text samples, accurately assigning labels such as positive, negative, and neutral sentiment. Followed annotation guidelines to ensure consistency, performed quality checks, and corrected inconsistencies in labeled data. Demonstrated strong attention to detail, accuracy, and the ability to meet deadlines while maintaining high-quality output.