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Statistical Physics and Thermodynamics Physicist (PhD)

Mercor

STEM Advanced AI training platform Remote

$80 – $110/hour · as listed

This remote role involves evaluating AI models on advanced physics research tasks through CritPt, a specialized benchmark designed to assess whether frontier AI systems can perform genuine physics reasoning at the research level. As a physicist with a PhD in statistical physics and thermodynamics, you'll contribute to AI training and evaluation work by analyzing model performance on complex, research-grade problems that go beyond standard textbook challenges. The position requires deep domain expertise to judge the quality and validity of AI reasoning in your field.

This is advanced-level, independent AI data work suited to research-minded physicists who want to participate in evaluating cutting-edge models. The role is part-time at approximately 10 hours per week, remote, and compensated at $80–$110 per hour. You should review the CritPt benchmark paper (arXiv:2509.26574) before applying to confirm the work aligns with your interests and expertise.

From the listing: Mercor marketplace · hourly · 10h/week. ## About the work CritPt is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is [arXiv:2509.26574](https://arxiv.org/abs/2509.26574) and we recommend reading it before applying. It will tell you quickly whether this work interests you.

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Applications are completed on the listing’s own site. Pay is shown as posted by the source (“as listed”) or the aggregator’s estimate where marked — offers and availability change, and individual results vary.

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