数据审核员
I participated in a data annotation project supporting AI large model training. My role included precisely checking text and image data, applying data cleaning rules, excluding invalid and noisy data, and optimizing data distributions. This ensured the improved quality and accuracy of the annotated data, directly contributing to the stable performance enhancement of AI models. • Conducted quality inspections of both text and image data for AI training use • Designed and implemented thorough data cleaning procedures to support accurate labeling • Removed low-quality, irrelevant, and noisy samples to enhance dataset value • Collaborated with team to achieve high-quality annotation standards and project goals.