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Condensed Matter Physicist (PhD)

Mercor

AI Data Advanced AI training platform Remote

$80 – $110/hour · as listed

This remote position involves evaluating advanced AI models on research-level physics reasoning tasks as part of a specialized benchmarking initiative. You'll assess whether frontier AI systems can tackle genuine physics research challenges—moving beyond standard textbook problems to genuine problem-solving depth. The work requires a PhD in condensed matter physics and a strong grasp of current AI capabilities and limitations.

You'll work approximately 10 hours per week on a flexible, hourly basis at the advanced level. This role suits physicists interested in AI evaluation, benchmark development, and understanding how large language models perform on domain-specific scientific reasoning. Compensation is $80–$110/hour as listed. Familiarity with the CritPt benchmark framework and the underlying research is essential before applying.

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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