Physics AI Specialist

Compensation: $80 per hour We are seeking highly qualified Physics PhD professionals to contribute to a cutting-edge AI research initiative involving advanced large language models. In this role, you will apply deep domain expertise to design complex, high-quality problems that enhance AI reasoning across specialized areas of physics.

This opportunity is ideal for individuals with strong theoretical and computational backgrounds who are passionate about advancing AI through rigorous scientific problem design.

Candidates should specialize in one or more of the following domains:

• Statistical Mechanics, Condensed Matter, and AMO Physics
• Advanced Quantum Mechanics, Electrodynamics, and Classical Mechanics
• String Theory, Quantum Field Theory, Particle Physics, and Nuclear Physics
• General Relativity, Astrophysics, and Cosmology

• Create challenging, graduate-level physics problems within your area of expertise
• Contribute to the development of high-quality datasets used to train and evaluate AI models
• Ensure scientific accuracy, depth, and rigor in all problem designs
• Follow structured guidelines to produce consistent and high-quality outputs
• Collaborate in a remote, asynchronous environment

• PhD in Physics from a university in the United States, United Kingdom, Canada, or Western Europe
• Strong attention to detail and commitment to high-quality work
• Excellent written and verbal communication skills
• High proficiency in English
• Ability to work independently and manage complex tasks

• Ongoing role starting in February with rolling applications
• Expected contribution of 4-6 tasks per week, each requiring several hours of focused work
• Fully remote with flexible, self-managed schedule

• Short AI-based interview and application form (approximately 20-40 minutes total)

• Competitive compensation based on expertise and contribution
• Weekly payments via supported global payment platforms

• Independent contractor engagement
• Work must not involve sharing confidential or proprietary information from any current or past employer or institution
• Project scope and duration may vary based on performance and research needs
• This opportunity does not currently support certain work authorization categories