Advanced STEM Experts (PhD Level): Scientific Reasoning For AI Training

Mathematical Physicist (PhD)

• Science & Research
• Platform: Mercor
• Location: United States

This role invites mathematical physicists to contribute to a research benchmark in fundamental physics, designed to assess whether cutting-edge AI models can solve real research problems in physics. You will work on specialized challenges in one of four proposed domains (special functions, integrable systems, permutation combinatorics, conformal geometry), creating, solving, reviewing, or validating problems at the level of academic research.

Posted September 25, 2026

Statistical Physics and Thermodynamics Physicist (PhD)

• Science & Research
• Platform: Mercor
• Location: United States

This role involves contributing to the creation and evaluation of research-level physics challenges for a benchmark designed to test the physical reasoning capabilities of AI models. The work involves creating problems, solving them, examining solutions or auditing them in your area of specialization in statistical physics. This role is intended for PhDs in statistical physics with published experience on specific phenomena and who master the corresponding mathematical and computational methods.

Posted September 25, 2026

Applied Formal Methods Researcher

• Science & Research
• Platform: Alignerr

This role involves translating mathematical proofs into machine-verifiable Lean 4 formalizations for an AI research organization. Mathematicians with formal proof system experience will work on bridging informal mathematical arguments and automated reasoning, identifying gaps in current verification tools and helping advance mechanized mathematics at the intersection of AI and rigorous proof.

Applied Physics

• Science & Research
• Platform: Alignerr

This role invites PhD-level applied physicists to evaluate and improve how AI models reason about physical systems. You will design advanced physics problems, author rigorous solutions, audit AI-generated reasoning for physical consistency, and provide expert feedback to refine model behavior across classical mechanics, electrodynamics, quantum mechanics, and related domains.

Chemist

• Science & Research
• Platform: DataAnnotation

This role involves evaluating AI-generated chemical reasoning and responses to identify flawed mechanisms, unsafe procedures, and analytical errors. You will write prompts to test chemical knowledge, review AI outputs for errors, and provide correct expert-level answers with proper attention to safety and experimental conditions.

Mathematician

• Science & Research
• Platform: DataAnnotation

This role involves evaluating and improving how AI models handle rigorous mathematical reasoning. You will create challenging math problems, review AI solutions for logical errors and unjustified steps, and write correct solutions that serve as training examples for the models to learn from.