Quantum Chemistry AI Benchmark Scientist

Obsidian; New York (NY); On-site; USD 83,000 - 138,000; Part time

Job summary

Mercor is seeking PhD and Master's scientists to author AI evaluation tasks for a new benchmark in scientific computing. You will craft original, executable research problems that current frontier models cannot solve.

Responsibilities include sourcing materials, writing prompts, defining grading criteria, and calibrating against frontier models. The role emphasizes a rigorous, publishable standard and a 6-week, part-time commitment.

Qualifications

• PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or closely related field.
• Demonstrated depth in both quantum chemistry and computational chemistry.
• Working proficiency in Python, R, or another relevant programming language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks.

Responsibilities

• Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design.
• Write scientific prompts based on the input.
• Build the grading criteria that define a correct answer.
• Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed.

Skills

Python

R

Scientific computing

Education

PhD in chemistry or closely related field

Tools

Git/GitHub

Docker

Job description

Mercor is seeking PhD and Master's scientists to author AI evaluation tasks for a new benchmark in scientific computing. You will craft original, executable research problems that current frontier models cannot solve.

Responsibilities include sourcing materials, writing prompts, defining grading criteria, and calibrating against frontier models. The role emphasizes a rigorous, publishable standard and a 6-week, part-time commitment.