Physics PhD - Quantum Computing Expert

mercor; Deutschland; Teletrabalho; EUR 74 000 - 111 000; Tempo integral

Resumo da oferta

Mercor is hiring a Physics PhD Coding Expert for a remote contract. The role focuses on sourcing materials from papers and datasets, drafting scientific prompts, and building grading criteria to test frontier models.

You will calibrate tasks so that models fail more often than succeed and work asynchronously to meet deadlines while advancing AI model performance. The position requires a PhD in physics with deep knowledge across multiple subfields and proficiency in Python or R, plus experience

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

R

Git

Docker

Scientific computing

Formação académica

PhD in physics

Descrição da oferta de emprego

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