Remote Atomic/AMO Physicist for AI Evaluation (Contract)

Mercor; Greater London; Remote; GBP 83,000 - 114,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role seeks a PhD in atomic, molecular or optical physics to evaluate AI-generated physics content and develop evaluation rubrics over 8–10 weeks, at 10 hours/week.

Responsibilities include reviewing physics problems, providing feedback to AI teams, and collaborating with subject matter experts to ensure rigor and coverage across datasets.

Qualifications

• PhD in atomic, molecular or optical physics or 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.

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.

Skills

English (B2)

Independent work

Education

PhD in atomic, molecular or optical physics

Three to five representative papers

Tools

LaTeX

Python

SymPy

Jupyter

Job description

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role seeks a PhD in atomic, molecular or optical physics to evaluate AI-generated physics content and develop evaluation rubrics over 8–10 weeks, at 10 hours/week.

Responsibilities include reviewing physics problems, providing feedback to AI teams, and collaborating with subject matter experts to ensure rigor and coverage across datasets.