AI Training
The role involved applying reinforcement learning from human feedback (RLHF) and prompt engineering to evaluate and enhance large language model (LLM) outputs. Tasks included performing content evaluation on medical and scientific text data to improve accuracy and usefulness for AI models. Leveraged academic knowledge in medical sciences to assess AI-generated responses and feedback cycles for high-stakes healthcare and scientific queries. • Applied advanced prompting techniques to elicit precise, well-structured answers from LLMs. • Evaluated LLM responses for scientific accuracy, medical clarity, and reliability. • Collaborated with AI training teams to identify and resolve inconsistencies in LLM behavior. • Developed and implemented structured feedback using internal/proprietary tooling for model improvement. Arabic and English fluency