Quantum Computing Physicist - Fully Remote | Upto $70/hr in New York

Energy Jobline ZR; New York (NY); Remote; USD 80,000 - 113,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role seeks a Physics PhD Coding Expert to source material, write scientific prompts, and build grading criteria for frontier models.

You will work independently and asynchronously to meet deadlines, with a 6-week duration and 20+ hours per week, starting immediately. Proficiency in Python or R, GitHub, and Docker is required.

Qualifications

• PhD in physics or closely related field.
• Demonstrated depth in at least two subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics.
• Working proficiency in Python, R, or another relevant programming for scientific computing.
• Comfortable with Git/GitHub and running code in Docker.
• Publications in peer-reviewed journals.
• Prior scientific software or research engineering experience.

Responsibilities

• Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on sourced input.
• Build grading criteria to define correct answers.
• Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Education

PhD in physics

Tools

Python

R

Git/GitHub

Docker

Job description

Job DescriptionJob Description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Physics PhD Coding Experts
Type: Contract
Compensation: $70/hour
Location: Remote
Duration: 6 weeks
Commitment: 20+ hours/week

Role Responsibilities

• Source material from published papers, Kaggle datasets, open-source repositories, or self-designed scenarios.
• Write scientific prompts based on sourced input.
• Build grading criteria to define correct answers.
• Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

• PhD in physics, applied physics, or a closely related field.
• Demonstrated depth in at least two subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, particle physics.
• Working proficiency in Python, R, or another relevant programming for scientific computing.
• Comfortable with Git/GitHub and running code in Docker.

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

Start Date

• Immediate

Application Process (Takes 20–30 mins to complete)

• A 25-minute conversational interview covering your background, experience, and motivations.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]