AI Language Data Annotation and Quality Evaluation
Contributed to AI training data improvement projects involving text annotation, content classification, and response quality evaluation. Responsibilities included reviewing large datasets, labeling content according to detailed guidelines, identifying intent and sentiment, categorizing information, and assessing outputs for accuracy, relevance, safety, and coherence. Maintained high annotation consistency while adhering to strict quality standards and project requirements.