Especialista en Entrenamiento de IA y Evaluación de Datos (uTest / Test IO / Hive Micro)
Provided technical data labeling and evaluation of AI-generated language model responses and JavaScript code snippets for quality and accuracy. Conducted systematic review and correction of output generated by LLM-based systems to optimize performance and correctness. Ensured data integrity and compliance with stringent quality metrics for AI training workflows. • Engaged in technical data annotation, focusing on code and language model results. • Responsible for the evaluation, correction, and validation of AI system outputs. • Collaborated on microtask platforms (uTest, Hive Micro, Test IO) specifically targeting AI-centric projects. • Maintained high standards for quality and prompt delivery of annotated work.