This is a fully remote position, open to applicants in United States.

📋 Description

• Engage with language models in real-world STEM problem-solving scenarios and theoretical technical inquiries.

• Assess the factual correctness and logical integrity of model outputs.

• Document reproducible error traces and record instances of model failures.

• Propose enhancements to prompt engineering and evaluation metrics.

• Assist in training AI models aimed at scientific discovery, technical problem-solving, education, and analytical work across engineering and science.

⛳️ Requirements

• Expertise in STEM fields such as mathematics, physics, chemistry, engineering, data science, computer science, or scientific computing.

• Proficiency in German.

• Capability to challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling.

• Skill in verifying factual accuracy and logical soundness.

• Competence in capturing reproducible error traces.

• Ability to recommend improvements for prompt engineering and evaluation metrics.

• Strong metacognitive communication skills with the ability to clearly “show your work.”

• A bachelor’s or master’s degree in a STEM discipline is preferred.

• Experience in published research, engineering design, data analysis projects, or coding portfolios indicates suitability.