Quantum Computing Physicist - Fully Remote | Upto $70/Hr

Mercor; San Francisco (CA); Híbrido; GBP 62.000 - 82.000; Tempo parcial

Benefícios oferecidos por esta vaga

Remote contract

Resumo da vaga

Mercor seeks a Physics PhD Coding Expert for a 6-week remote contract. The role involves sourcing materials, crafting scientific prompts, and building grading criteria to push AI model performance.

You will work asynchronously, with a 20+ hour weekly commitment, starting immediately. Required are a PhD in physics and deep knowledge across subdomains like condensed matter, optics, and quantum information, plus proficiency in Python or R and comfort with Git/GitHub and Docker.

Qualificações

• PhD in physics or closely related field.
• Expertise in at least two subdomains from the listed areas.
• Proficient in Python or R for scientific computing; comfortable with Git/GitHub and Docker.

Responsabilidades

• Source material from papers, Kaggle datasets, open sources, 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 when strong models fail.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Conhecimentos

Condensed matter

Optics

Quantum information

Computational physics

Astrophysics

Particle physics

Independent work

Formação

PhD in physics

Ferramentas

Python

R

Git/GitHub

Docker

Descrição da vaga

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.

Start Date

• Immediate

Application Process (Takes 20–30 mins to complete)

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]