AI Data Labeling Specialist – E-commerce Product Classification Project
Worked on a large-scale AI training project focused on product image classification and annotation for an e-commerce platform. Responsibilities included reviewing and labeling thousands of product images according to predefined guidelines, categorizing products into appropriate classes, identifying visual attributes such as color, size, and product type, and ensuring annotation consistency across datasets. Performed quality assurance checks to maintain high annotation accuracy and participated in regular guideline reviews to improve labeling consistency. Successfully completed over 25,000 image annotations while maintaining an accuracy rate above 98%. Followed strict data handling procedures and project requirements to ensure reliable training data for machine learning models. Collaborated with project reviewers to resolve ambiguous cases, provide feedback on annotation guidelines, and improve dataset quality. Demonstrated strong attention to detail, time management, and the ability to meet project deadlines in a fast-paced remote working environment.