Physics Specialist (Remote | $61–$77/hr)

Synthires; Greater London; Remote; GBP 82,000 - 138,000; Part time

Benefits offered by this job

Weekly payments

Fully remote work

Independent contractor engagement

Job summary

Synthires is seeking a Research Physics Expert for a fully remote, hourly engagement. The role involves 10 hours per week on advanced AI benchmarks, solving complex physics problems and creating reference solutions.

You will author Python-based templates, review submissions, and help develop high-quality benchmark datasets for AI systems. Ideal candidates hold a PhD or equivalent, with published research and strong Python, Jupyter, SymPy, and LaTeX skills.

Qualifications

• PhD or equivalent research-faculty level.
• Expertise in high energy, mathematical, biophysics, statistical, condensed matter, AMO, cosmology/astrophysics, quantum information or quantum mechanics.
• Strong publication record demonstrating research expertise.
• Experience solving complex research-level physics problems and developing rigorous analyses.
• Proficiency with Python, Jupyter Notebooks, SymPy, and LaTeX.

Responsibilities

• Solve research-level physics problems and develop complete reference solutions.
• Create structured problem decompositions and verification methodologies.
• Author Python-based answer templates and automated validation functions.
• Review and audit submitted solutions for correctness, rigor, and methodological soundness.
• Provide detailed feedback to improve solution quality and benchmark reliability.
• Adjudicate between competing solution approaches and determine final reference answers.
• Document derivations, verification procedures, error tolerances, and scientific rationale.
• Contribute to the development of high-quality benchmark datasets for evaluating frontier AI systems.

Skills

Python

Jupyter Notebooks

SymPy

LaTeX

Education

PhD or equivalent research-faculty level

Job description

Research Physics Expert

Location: Remote

Engagement Type: Hourly Contract

Compensation: $61–$77/hour

About the Opportunity

This opportunity is for experienced Physics Researchers interested in contributing to advanced AI research and evaluation projects. You will help develop and validate high-quality reference solutions for frontier-level physics benchmarks, ensuring that next-generation AI systems are evaluated against rigorous scientific standards.

The work involves solving complex research-level physics problems, reviewing expert solutions, and contributing to the creation of human-verified benchmark data used to measure AI reasoning capabilities.

Ideal Qualifications

• PhD, Postdoctoral Researcher, Faculty Member, or Industry Research Scientist in Physics or a related field.
• Expertise in one or more areas including High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter Physics, AMO Physics, Cosmology, Astrophysics, Quantum Information, or Quantum Mechanics.
• Strong publication record demonstrating research expertise in a relevant subfield.
• Experience solving complex research-level physics problems and developing rigorous scientific analyses.
• Proficiency with Python, Jupyter Notebooks, SymPy, and LaTeX.
• Excellent analytical reasoning, problem-solving, and scientific communication skills.
• Strong attention to detail and commitment to scientific accuracy.

Responsibilities

• Solve research-level physics problems and develop complete reference solutions.
• Create structured problem decompositions and verification methodologies.
• Author Python-based answer templates and automated validation functions.
• Review and audit submitted solutions for correctness, rigor, and methodological soundness.
• Provide detailed feedback to improve solution quality and benchmark reliability.
• Adjudicate between competing solution approaches and determine final reference answers.
• Document derivations, verification procedures, error tolerances, and scientific rationale.
• Contribute to the development of high-quality benchmark datasets for evaluating frontier AI systems.

Project Details

• Expected commitment of approximately 10 hours per week.
• Fully remote and asynchronous work environment.
• Opportunity to collaborate with leading AI researchers and domain experts.
• Long-term project engagement with potential extensions based on project needs.

Compensation

• Competitive compensation of $80–$135/hour.
• Weekly payments.
• Independent contractor engagement.