Tech Stack

Description

You will challenge and train AI models on advanced materials science topics, verifying factual accuracy and logical soundness to improve model reasoning. Your expertise will help democratize scientific education and streamline research.

Requirements

• PhD in materials science, materials engineering, or closely related field
• Peer-reviewed publications, lab-based testing, product design with advanced materials, or applied research experience
• Clear, metacognitive communication skills
• Ability to supply secure computer and high-speed internet

Responsibilities

• Challenge language models on materials science topics like phase transformations, microstructure-property relationships, and characterization techniques
• Document failure modes to harden model reasoning
• Converse with model on lab scenarios and theoretical questions
• Verify factual accuracy and logical soundness of model outputs
• Suggest improvements to prompt engineering and evaluation metrics