AI Data Trainer – Chemistry & Science Domain
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Fine-tuningTrained and fine-tuned large language models for the chemistry and science domain by solving advanced chemistry problems and producing structured explanations. Created training data that included scientific text, chemical equations, and annotated structural diagrams to improve model comprehension of complex chemistry concepts. Evaluated AI-generated outputs for scientific accuracy, logical reasoning, and clarity while providing detailed feedback to improve performance. • LLM fine-tuning via chemistry problem solving • Annotated/augmented training data using equations and diagrams • QA review of model outputs with constructive annotations • Worked on multiple concurrent asynchronous projects remotely to meet accuracy and throughput benchmarks