Physics PhD - Scientific Computing Expert

mercor; Deutschland; Remote; EUR 74.000 - 98.000; Vollzeit

Zusammenfassung

Mercor connects elite creative and technical talent with leading AI research labs. A Physics PhD coding expert is sought for a remote contract of about 6 weeks, 20+ hours/week, at $70/hour.

Role focuses on sourcing material, writing scientific prompts, and building grading criteria while calibrating tasks against frontier models. Independent, deadline-driven work is essential for improving AI model performance.

Qualifikationen

• PhD in physics or closely related field.
• Depth in at least two subdomains: condensed matter, optics, quantum info, 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.

Aufgaben

• 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.

Kenntnisse

Python/R

Git/GitHub

Scientific computing

Ausbildung

PhD in physics

Tools

Docker

Jobbeschreibung

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 language for scientific computing.
• Comfortable with Git/GitHub and running code in Docker .

Preferred

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