Description

You will challenge advanced language models on STEM topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling, documenting failures to improve model reasoning. Your expertise will help train the next generation of AI for scientific discovery and technical problem-solving.

Requirements

• Bachelor's or master's degree in a STEM discipline
• Published research, engineering design experience, data analysis projects, or coding portfolios
• Clear, metacognitive communication—'showing your work'
• Fluent in German

Responsibilities

• Converse with AI model on real-world STEM problem-solving scenarios and theoretical technical questions
• Verify factual accuracy and logical soundness of model responses
• Capture reproducible error traces
• Suggest improvements to prompt engineering and evaluation metrics
• Document every failure mode to harden model reasoning