Handshake AI
Conducted response evaluation for AI language model training by rating and comparing pairs of AI-generated outputs based on criteria such as accuracy, helpfulness, clarity, and safety. Provided structured human feedback that was used to guide reinforcement learning from human feedback (RLHF) pipelines, directly contributing to the alignment and quality improvement of general-purpose AI models.