Data Annotation Tech / Independent Data Consultant
Contributed to the development of Large Language Models (LLMs) by performing advanced RLHF and adversarial prompting. Evaluated complex model outputs for accuracy, logic, and stylistic adherence. Authored high-quality reference data to train models in creative writing, logical reasoning, and STEM-based problem-solving. • Created and rated AI generated outputs for factual correctness. • Wrote prompt-response pairs for AI supervised fine-tuning. • Engaged in adversarial evaluation of AI output robustness. • Provided domain expertise in areas such as educational psychology and creative writing. • Reviewed other worker's contributions on multiple project families to make sure they met Golden Standard submission quality • Tested personalization components of LLM's and ranked them according to rubric instructions