Santiago B., a highly accomplished Linguistic Expert and AI Data Specialist based in Funes, Santa Fe, Argentina, excels in morphosyntactic analysis and formal linguistic models as a senior student with a remarkable GPA of 9.44. With proven experience in Reinforcement Learning from Human Feedback (RLHF), he specializes in evaluating AI models focused on semantic precision, sarcasm detection, and dialectal nuances, particularly for Spanish-language models with an emphasis on Argentine dialects. As an AI Linguistic Evaluator for Alignerr/Labelbox, he has demonstrated expertise in analyzing conversational nuances and ensuring data quality through the identification of logical inconsistencies. His academic role as a Teaching Assistant at Universidad Nacional de Rosario involves instructing students in syntactic theory and conducting structural text analysis, furthering his expertise in linguistic evaluation. Santiago's proficiency in both Spanish and English, combined with advanced technical skills in tools like Labelbox and Excel, supports his capability in technical documentation and complex linguistic guidelines.
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