AI Data Annotation & Quality Review Project
Worked on AI training and data annotation tasks focused on improving the accuracy and performance of machine learning models. Responsibilities included text labeling, content classification, conversational data review, error detection, and quality assurance based on detailed project guidelines. Maintained consistency and high annotation accuracy while handling large datasets and ensuring compliance with quality standards. The project also involved reviewing language patterns, identifying inconsistencies, and providing structured annotations to support AI model training and evaluation. Demonstrated strong observational precision, attention to detail, and the ability to follow complex instructions under deadlines.