Data Labelling
Image
PolygonI worked on an E-commerce AI data labeling project focused on improving product search accuracy, recommendation systems, and content moderation for online marketplaces. The project involved labeling and categorizing large volumes of product data, including product titles, descriptions, images, pricing information, and customer reviews. I also performed keyword tagging, sentiment analysis on customer feedback, duplicate product detection, and product attribute annotation such as brand, color, size, category, and material identification. My responsibilities included reviewing and validating labeled datasets to ensure consistency and compliance with annotation guidelines. The project handled thousands of product entries daily, requiring high attention to detail and fast turnaround times. Quality measures adhered to included maintaining labeling accuracy above project benchmarks, following strict annotation protocols, conducting regular quality assurance checks, cross-reviewing tasks, and correcting inconsistencies to improve machine learning model performance and overall dataset reliability.