Atomic Physicist - Fully Remote | Up to $110/hr

mercor; San Francisco (CA); Hybrid; GBP 83,000 - 115,000; Part time

Job summary

Mercor is seeking an Atomic, Molecular and Optical Physicist (PhD) for a remote, 8–10 week contract to help evaluate AI-generated physics content and strengthen model reasoning. You will review complex problems, develop evaluation rubrics, and provide feedback to AI teams. Candidates should have a PhD, publications, and proficiency with LaTeX, Python, SymPy and Jupyter, plus English at B2+.

Qualifications

• PhD required in atomic, molecular or optical physics.
• Three to five representative publications preferred.
• Proficiency with LaTeX, Python, SymPy and Jupyter required.
• English level at least B2, with ability to reason in writing.

Responsibilities

• Evaluate the accuracy and depth of AI-generated physics content to strengthen reasoning and rigor in model outputs.
• Review complex physics problems for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated physics tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Skills

English proficiency (B2+)

Education

PhD in atomic, molecular or optical physics

Tools

LaTeX

Python

SymPy

Jupyter

Job description

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: Atomic, Molecular and Optical Physicist (PhD) Type: Contract Compensation: $80–$110/hour Location: Remote Duration: 8 to 10 week Commitment: 10 hours/week

Responsibilities

• Evaluate the accuracy and depth of AI-generated content in physics to strengthen reasoning and rigor in model outputs .
• Review complex physics problems for alignment with domain principles and methodologies.
• Provide clear, structured feedback to AI research teams to improve training data quality and downstream performance.
• Develop evaluation rubrics and benchmarks for assessing AI-generated physics tasks and solutions.
• Collaborate with subject matter experts to ensure consistency, relevance, and coverage across datasets.
• Work independently and asynchronously to meet deadlines while improving AI model performance .

Qualifications

• PhD in atomic, molecular or optical physics or a closely related field.
• Published work on the specific phenomena mentioned.
• A verifiable publication record with three to five representative papers.
• Working proficiency with LaTeX , Python , SymPy , and Jupyter .
• English at B2 or above , including written reasoning.