Physics PhD - Quantum Computing Expert - AI Trainer

Obsidian; New York (NY); On-site; USD 55,000 - 110,000; Part time

Job summary

Mercor is seeking PhD or Master's level 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, with emphasis on physics subdomains and rigorous grading criteria.

Applicants will source data, write prompts, and collaborate to ensure the tasks challenge advanced models. This six-week, part-time engagement starts immediately and requires Python/R coding and Git/Docker

Qualifications

• PhD in physics, applied physics, or closely related field.
• Demonstrated depth in at least two subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics.

Responsibilities

• Source material: published paper, Kaggle dataset, open-source repo, or self-designed scenario.
• Write scientific prompts based on the input.
• Build grading criteria to define a correct answer.
• Calibrate against frontier models; a task ships when strong models fail it more often than they succeed.

Skills

Condensed matter

Quantum information

Computational physics

Python

R

GitHub

Education

PhD in Physics

Tools

Docker

Git/GitHub

Job description

Mercor is hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

Domains — depth required in at least two subdomains (with a coding focus)

• Physics — condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics

What you'll do

• 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

Required

• PhD in physics, applied physics, or a closely related field
• Demonstrated depth in at least two of the following subdomains: 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

Preferred

• Publications in peer-reviewed journals
• Prior scientific software or research engineering experience

Engagement

• Duration: 6 weeks
• Commitment: part-time, 20+ hours per week
• Start date: immediate

Process

1. Upload your resume and application form
2. A 25-minute conversational interview covering your background, experience, and motivationsFollow up within a few days with next steps and onboarding