Remote AI Benchmark Scientist (Physics PhD)

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

Job summary

Weekday 1 is seeking PhD or Master’s scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will craft original, executable research problems that frontier models cannot solve.

Domains require depth in at least two subareas (condensed matter, optics, quantum information, computational physics, astrophysics, or particle physics). Proficiency in Python or R and familiarity with GitHub and Docker are essential.

Qualifications

• PhD in physics, applied physics, or closely related field.
• Depth in at least two subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, or particle physics.
• Working proficiency in Python, R, or another language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker — authoring runs through a PR 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

Git/GitHub

Docker

Education

PhD in physics or related field

Tools

Docker

Git/GitHub

Job description

Weekday 1 is seeking PhD or Master’s scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will craft original, executable research problems that frontier models cannot solve.

Domains require depth in at least two subareas (condensed matter, optics, quantum information, computational physics, astrophysics, or particle physics). Proficiency in Python or R and familiarity with GitHub and Docker are essential.