Healthcare Text Classification for AI Training
Annotated and classified Spanish-language healthcare text datasets for AI and NLP model training. Tasks included assigning predefined labels to medical and patient-related text, identifying named entities (such as symptoms, conditions, and administrative terms), and reviewing annotations for consistency and accuracy. Followed detailed labeling guidelines, performed quality checks, flagged ambiguous samples, and contributed to high-quality supervised learning datasets used for text classification and language model evaluation.