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Physics Expert (PhD / Postdoc)

$100–$170/hr

Published pay. The final rate depends on your test, experience and country.

Remote · Worldwide 10 openings Language: English Posted 14 Nov 2026

Physics Expert (PhD / Postdoc) is remote AI-training work for scientists & researchers, paying $100–$170/hr, open to applicants worldwide. Posted 14 Nov 2026, still open on 14 Nov 2026. Zekai lists it for free; the application goes to the employer's platform.

About this role

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Role Title: Physics Expert (PhD / Postdoc)

Role Type: Contractor

Location: Remote

our partner is engaging Physics Experts (PhD / Postdoc) to contribute their advanced knowledge to a frontier research-level physics benchmark, supporting a customer’s innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This engagement spans a range of physics subfields, including mathematical physics, many-body and condensed matter theory, statistical physics, quantum information, and theoretical physics. Contributors may be considered for distinct roles such as Solver, Auditor, or Adjudicator, with assignments based on expertise, seniority, and demonstrable hands-on experience.

Scope of Work

  • Produce and validate high-quality solutions to advanced theoretical and mathematical physics problems across multiple subfields.
  • Audit, review, and provide constructive feedback on solutions contributed by peers within the physics benchmark.
  • Adjudicate complex cases by evaluating conflicting solutions and determining accuracy based on rigorous standards.
  • Document methodologies, reasoning, and solutions clearly using LaTeX and other scholarly formats.
  • Collaborate asynchronously with project leads and fellow experts to uphold project quality and meet key deliverables.
  • Ensure all work reflects up-to-date knowledge of contemporary research and methods in core physics domains.
  • Assist in refining benchmark protocols and question sets to enhance the accuracy and relevance of physics evaluations.

Preferred Qualifications

  • PhD or postdoctoral research background in physics, theoretical physics, quantum physics, or mathematical physics.
  • Proven expertise in one or more relevant subfields: mathematical physics, many-body theory, condensed matter, statistical physics, or quantum information.
  • Exceptional analytical and problem-solving skills with hands-on experience in solving and articulating advanced physics problems.
  • Proficiency in written and verbal communication, including experience preparing technical documentation and scholarly content (LaTeX essential).
  • Prior participation in research collaborations, academic peer review, or expert panels (a strong plus).
  • Demonstrated ability to work independently and asynchronously within a remote, distributed project setting.
  • Meticulous attention to detail and a commitment to maintaining rigorous scientific standards in all contributions.

This is a 100% remote contract role, open to applicants worldwide in the countries the employer accepts.

PhysicsTheoretical PhysicsMathematical PhysicsQuantum PhysicsLaTeX

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What to know before you apply

Pay
At the published rate, 10 hours a week would be about $1,000–$1,700 and 20 hours about $2,000–$3,400 before tax. Hours depend on the project, so treat this as a ceiling, not a promise.
Location
Open worldwide in the countries the employer accepts. Payments usually go out through services like PayPal or Wise, so check one of them works in your country.
Credentials
The listing asks for a PhD. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
Test tips for scientists & researchers
  • Show full derivations; partial reasoning is usually marked down.
  • Check units, assumptions and limiting cases in every AI solution.
  • Write hard original problems that break the model: that skill is in demand.
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