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TextAI data trainer and physicist with expertise in mathematical and computational modeling. Skilled in dataset refinement, AI quality assurance, and reinforcement learning from human feedback. Strong problem-solving, research, and teaching abilities, with a track record of academic achievements and interdisciplinary collaboration.
Created advanced mathematics and reasoning problems that challenge AI models’ logic and reasoning abilities.
Maintained high-quality standards in AI training datasets by meticulously reviewing annotations and trainer outputs, collaborating closely with trainers and leads to identify and resolve data inconsistencies maintaining again 0% of major errors.
Translated mathematical texts to Spanish and assessed the mathematics and logic of the model-generated translations. Achieved 0% of major errors, obtaining a promotion as a Quality Assurance Analyst.
Trained large language models using reinforcement learning from human feedback, refining datasets to enhance AI accuracy and decision-making while applying annotation techniques and classification frameworks to ensure data quality and identify patterns.
Non-degree, Electromechanical Engineering
Bachelor of Science, Physics
Research Assistant
Assistant Teacher
