Description

You will use your synthetic chemistry expertise to train large language models by conversing with them on topics like multi-step synthesis planning, asymmetric catalysis, and reaction mechanism design. Your work will involve verifying factual accuracy, capturing error traces, and improving model reasoning to power AI in scientific discovery.

Requirements

• PhD in chemistry or closely related field
• Peer-reviewed publications or lab synthesis experience
• Clear, metacognitive communication skills

Responsibilities

• Challenge AI models on synthetic chemistry topics
• Verify factual accuracy and logical soundness of model outputs
• Document failure modes to harden model reasoning
• Suggest improvements to prompt engineering and evaluation metrics