Data Annotator | T-Maxx Bytedance
Categorized and labeled large volumes of multi-modal data, including text, images, and videos for machine learning and generative AI model training. Maintained high accuracy in data classification while meeting strict daily targets. Identified and reported errors to improve model training sets. • Labeled multi-modal datasets at scale to support AI learning. • Focused on accuracy, consistency, and speed targets. • Enhanced generative AI models through targeted annotation. • Provided systematic feedback on data quality issues.