Artificial Intelligence and Large Language Model Engineer (Contract)
Generated and curated over 500 structured problem-solving datasets for training Large Language Models in competitive programming tasks. Led the annotation and prompt engineering process to improve supervised training dataset consistency. Designed workflows to provide structured feedback and accelerate AI model alignment cycles. • Datasets covered technology, programming, science, and general knowledge domains. • Evaluated and ranked AI-generated model outputs for reasoning, accuracy, style, and safety. • Maintained 95 percent or higher adherence to complex annotation project guidelines. • Used Python and prompt engineering within a distributed remote team.