AI TRAINER
Project Description Contributed to AI training data projects through Sapien, focusing on accurate data annotation and quality validation across text and image datasets. Responsibilities included labeling, categorizing, and reviewing data based on detailed project guidelines to support machine learning model development. Ensured consistency, precision, and adherence to quality benchmarks while meeting strict deadlines. Collaborated within distributed teams to maintain data integrity and improve annotation workflows. Applied critical thinking and contextual judgment to resolve ambiguities, flag edge cases, and enhance dataset reliability, directly supporting improved model performance and training efficiency.