Remote AMO Physicist — AI Content Evaluator

Remote Jobs

United States

Remote

USD 110,000 - 152,000

Part time

6 days ago
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Job summary

Mercor connects elite creative and technical talent with leading AI research labs. A remote, 8–10 week contract invites a PhD physicist to help align AI outputs with physical principles.

You will evaluate AI-generated physics content, develop benchmarks, and provide feedback to improve data quality and model performance. Requires PhD, publications, and Proficiency in LaTeX, Python, SymPy, Jupyter; English at B2+.

Qualifications

  • PhD in atomic, molecular or optical physics or a closely related field.
  • Three to five representative papers published in a recognized venue.
  • Publication record verifiable and relevant to the phenomena mentioned.
  • Proficient with LaTeX, Python, SymPy and Jupyter notebooks.
  • English at B2 level or above, including written reasoning.

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 (B2+)

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. A remote, 8–10 week contract invites a PhD physicist to help align AI outputs with physical principles.

You will evaluate AI-generated physics content, develop benchmarks, and provide feedback to improve data quality and model performance. Requires PhD, publications, and Proficiency in LaTeX, Python, SymPy, Jupyter; English at B2+.

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