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

📋 Description

• Develop high-quality training datasets for large-scale language models.

• Test advanced language models on complex mathematics subjects.

• Engage in discussions with models regarding classroom problems and theoretical mathematics inquiries.

• Ensure factual accuracy and logical integrity.

• Document reproducible error instances and model failure characteristics.

• Propose enhancements to prompt engineering and evaluation criteria.

⛳️ Requirements

• Expertise in mathematics including algebra, calculus, number theory, linear algebra, differential equations, statistics, geometry, mathematical logic, and discrete mathematics.

• Proficiency in real and complex analysis, optimization theory, mathematical proofs, set theory, probability distributions, cryptographic algorithms, and applied mathematics.

• Fluency in German.

• Strong metacognitive communication skills with the ability to demonstrate problem-solving processes.

• A master's or PhD in mathematics or a closely related quantitative discipline is preferred.

• Experience with peer-reviewed publications, teaching, research in pure or applied mathematics, or practical experience in mathematical modeling is advantageous.