AI data annotation

Contributed to refining large language models by creating, curating, and evaluating diverse datasets across coding, linguistic, and audio tasks. Ensured data accuracy, clarity, and contextual depth to strengthen model reasoning, consistency, and real-world applicability through rigorous quality assurance and analytical review processes.