Physics Research Scientist - Fully Remote | Upto $70/hr

mercor; Deutschland; À distance; EUR 74 000 - 98 000; Temps partiel

Résumé du poste

Mercor is hiring a Physics PhD Coding Expert for a remote, 6-week contract. The role focuses on sourcing materials from papers and datasets, writing high-quality prompts, and building robust grading criteria.

Candidates will calibrate tasks against frontier models and work independently to meet deadlines while enhancing AI model performance. Ideal applicants hold a PhD in physics with deep knowledge across multiple subfields, and are proficient in Python or R, plus Git/GitHub and Docker.

Qualifications

• PhD in physics or closely related field.
• Depth in at least two subdomains: condensed matter, optics, quantum information/computing, computational physics, astrophysics, or particle physics.
• Experience programming for scientific computing (Python, R, or similar).
• Proficient with Git/GitHub and Docker workflows.

Responsabilités

• Source material from papers, Kaggle datasets, open-source repos, or self-designed scenarios.
• Write scientific prompts based on sourced inputs.
• Build grading criteria to define correct answers.
• Calibrate tasks against frontier models to ensure robustness.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Connaissances

Python

R

Formation

PhD in physics

Outils

Git / GitHub

Docker

Description du poste

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 ExpertsType: ContractCompensation: $70/hourLocation: RemoteDuration: 6 weeksCommitment: 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 inputs.
• Build grading criteria to define correct answers.
• Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than they 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.
• 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.

Start Date

Immediate