Spanish-English AI Language Model Evaluation and Data Labeling for NLP Tasks
The project focused on training and improving large language models for Spanish-English tasks. I performed data labeling activities including review, correction, and classification of AI-generated responses to ensure clarity, accuracy, and compliance with quality standards. I also developed rubrics and guidelines to support consistent, high-quality outputs. The work included bilingual translation review and validation of linguistic and cultural accuracy. The project involved high-volume data annotation with strict quality control measures, requiring precision, analytical thinking, and adherence to detailed evaluation protocols.