AI Data Annotator / Data Quality Support
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ClassificationAs an AI data annotator and data quality support, I conducted data labeling tasks on Chinese text, dialogue data, search results, and content security, following detailed guidelines. Tasks included intent classification, entity extraction, sentiment judgment, risk identification, and label matching, with a focus on maintaining standardized definitions. Manual evaluation of AI-generated responses, marking unclear samples with explanations, and compiling common error types was also integral to my role. • Completed topic classification, label matching, and multi-dimensional judgment tasks for user inputs, short texts, and explanatory copy. • Strictly followed project guides for labeling boundary samples, ensuring consistency in sample evaluation. • Identified and labeled spam, advertisements, duplicates, sensitive expressions, and low-quality responses to improve data safety. • Maintained steady workload delivery with an emphasis on accuracy and rule adherence.