Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. This position focuses on evaluating and improving large language models (LLMs) by leveraging deep subject-matter expertise in chemistry to rigorously assess model accuracy, reasoning, and scientific depth across advanced chemical disciplines.

Key Domains

General Chemistry
Organic Chemistry
Inorganic Chemistry
Analytical Chemistry
Physical Chemistry
Electrochemistry
Polymer Chemistry
Biochemistry and Molecular Biology
Medicinal Chemistry
Radiochemistry
Chemical Engineering and Technology
Fluid Flow and Heat Transfer in Chemical Engineering
Mass Transport and Separation Processes
Chemical Reaction Engineering

Key Responsibilities

Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines.
Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes .
Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps .
Provide structured feedback and benchmarking using specialized evaluation tools.
Work independently and asynchronously as part of a distributed research team.

Requirements

PhD (or PhD candidate) in Chemistry, Chemical Engineering, Biochemistry, or a closely related field.
Strong command of graduate-level chemistry concepts and scientific problem solving.
Excellent written communication and analytical thinking skills.
Ability to work independently in a remote, asynchronous environment .
Proficiency in Python for data analysis or model evaluation workflows preferred.

Role Details