Chemistry PhD AI Benchmark Architect (Remote)

Weekday 1; United States; Remote; USD 83,000 - 110,000; Part time

Job summary

Weekday 1 is seeking PhD-level scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will craft original, executable research problems that current frontier models cannot solve, focusing on chemistry domains with quantum and computational depths, all in a fully remote 6-week, part-time engagement.

Expect to source material, write prompts, define grading criteria, and calibrate tasks against models that struggle.

Qualifications

• PhD in chemistry, physical chemistry, theoretical chemistry, computational chemistry, or a closely related field.
• Demonstrated depth in quantum chemistry and computational chemistry.
• Working proficiency in Python, R, or another language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker; authoring runs via PR workflow with automated checks.

Responsibilities

• Source your own material: a published paper, a Kaggle dataset, an open-source repo, 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 more often than they succeed.

Skills

Python

R

Scientific computing

Education

PhD in chemistry or related field

Tools

Git/GitHub

Docker

Job description

Weekday 1 is seeking PhD-level scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will craft original, executable research problems that current frontier models cannot solve, focusing on chemistry domains with quantum and computational depths, all in a fully remote 6-week, part-time engagement.

Expect to source material, write prompts, define grading criteria, and calibrate tasks against models that struggle.