AI Benchmark Scientist for Frontier Physics Computing

Mercor

Dallas (TX)

On-site

USD 83,000 - 124,000

Part time

14 days+
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Job summary

Mercor is hiring PhD and Master’s scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will author original, executable research problems that today’s frontier models cannot solve.

Source material, write prompts, build grading criteria, and calibrate against frontier models so a task ships only when strong models fail it more often than they succeed.

Engagement lasts 6 weeks, part-time (20+ hours per week) with start date available immediately.

Qualifications

  • PhD in physics, applied physics, or a closely related field.
  • Demonstrated depth in two or more of: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics.
  • 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
GitHub

Education

PhD in physics
Master's in physics (or related field)

Tools

Docker

Job description

Mercor is hiring PhD and Master’s scientists to author AI evaluation tasks (Sci Code) for a new benchmark in scientific computing. You will author original, executable research problems that today’s frontier models cannot solve.

Source material, write prompts, build grading criteria, and calibrate against frontier models so a task ships only when strong models fail it more often than they succeed.

Engagement lasts 6 weeks, part-time (20+ hours per week) with start date available immediately.

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