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Mercor · Remote job

Physics Domain Expert

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Mercor when you’re readyApply on Mercor →

You apply directly on Mercor's site. Applying is free. Posted Oct 30, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Mercor screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

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STEP 2 · APPLY

Apply for this role

You apply on Mercor's own site. It’s free, and you can apply even if you skip the practice.

Apply on Mercor →

Who this role suits

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

Full job description

Help define how frontier AI models reason about physics.

1. Overview

We are looking for senior physicists to improve how frontier AI models reason about real physics research.

Your scientific judgment is the substance of this role. You will review the quality of physics reasoning tasks and model outputs, write the problem specifications and reference solutions that define what "correct" looks like, and design benchmarks that show whether a model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

This role is fully remote.

2. Key Responsibilities

  • Expert review: Assess physics tasks and model outputs, catching flawed derivations, unjustified approximations, dimensional and limit errors, and answers that read well but would not survive peer review.
  • Problem specs and reference solutions: Write precise problem statements and rigorous reference solutions that reflect how research physics is actually done.
  • Benchmarks: Design challenging, research-level problems and evaluation sets in your area of specialization.
  • Calibration: Work with other researchers and experts in adjacent fields to turn tacit expert judgment into explicit, teachable criteria.

3. Core Qualifications

  • Education: PhD in physics, astrophysics, applied physics, or a closely related field.
  • Seniority: A faculty appointment, principal investigator, staff or senior scientist, or an equivalent senior research role at a university, national laboratory, or research organization.
  • Domain depth: Genuine specialization in at least one area, for example condensed matter, high-energy or particle physics, astrophysics and cosmology, atomic, molecular, optical and quantum physics, or statistical and computational physics.
  • Research record: A strong peer-reviewed publication record. Recognition such as competitive fellowships or awards is a plus.
  • AI fluency: Hands-on use of large language models in your work, and the judgment to tell a sound argument from a plausible-sounding wrong one.
  • Communication: Excellent written communication and the ability to give precise, well-structured feedback.
  • Location: Based in the United States.

Last checked open on Nov 1, 2026. Job description provided by Mercor.

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