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Physics AI Training Jobs 2026: Remote Work for Physicists

PhD physicists and researchers earn remote income training AI reasoning models. Learn which platforms hire by subfield and how to get started.

16 min read

If you have a physics background and you're looking for flexible remote work that uses your training, not just your ability to click buttons, this guide is for you.

AI labs building reasoning models need physicists to write hard problems, check derivations, and catch the kind of subtle errors a model can produce while still sounding confident. It's real work: helping models get physics right before that reasoning ships to millions of users. We've reviewed platforms like Mercor, Micro1, and SME Careers to help you find the right fit.

This isn't about replacing academic or industry work. It's about supplementing it with flexible, project-based income that respects your expertise.

Why Physics Expertise Matters for AI

AI models are good at pattern-matching physics problems that look like ones they've seen before. They're much weaker at genuine multi-step derivation: tracking units and dimensional analysis correctly, applying the right approximation for a regime, or catching a sign error that quietly breaks the rest of a solution.

To make AI reliable at physics reasoning, companies need people who can:

  • Write problems that require real derivation, not memorized formulas
  • Check a model's step-by-step solution and pinpoint exactly where the reasoning fails
  • Distinguish a right answer reached by flawed reasoning from a right answer reached correctly
  • Apply subfield-specific rigor (general relativity, QFT, statistical mechanics) that a generalist reviewer would miss
  • Flag when a model's physical intuition is wrong even if the math checks out

That's where you come in. Your degree and research experience aren't just credentials, they're exactly what these platforms are paying for.

Opportunities by Track

Physics roles split roughly into five tracks depending on your background and how specialized you want to go. Scroll down to see everything currently open in physics jobs and the broader STEM category.

PhD Physicists (General)

Generalist PhD roles are the widest entry point. You don't need a narrow subfield focus, just a completed or in-progress physics PhD and the ability to write and check rigorous problems across mechanics, electromagnetism, thermodynamics, and quantum basics.

Common Tasks:

  • Problem Authoring: Write multi-step physics problems that require genuine derivation
  • Solution Verification: Check an AI model's worked solution for correctness at every step
  • Error Annotation: Document exactly where and why a model's reasoning breaks down
  • Rubric Application: Score model outputs against a grading rubric for physical correctness

Best Platforms: Mercor (widest range of PhD physics tracks), Micro1 (multiple PhD-level physics expert roles), Turing (PhD/Master's physics expert roles)

Typical Pay: $30-$100/hr depending on platform and degree level; Mercor's general PhD tracks run $70-$100/hr, Micro1's PhD roles run $80-$90/hr

Time Commitment: Project-based, typically 4-20 hrs/week

Specialized Subfields

If your research sits in a narrow subfield, this is where the premium rates live. Astrophysics, particle and nuclear physics, quantum and condensed matter, string theory and QFT: these roles almost all come from Mercor, and they pay more precisely because so few people can review them credibly.

Common Tasks:

  • Subfield Problem Design: Write problems that require genuine expertise in your specialty, not just general physics knowledge
  • Advanced Derivation Checks: Verify solutions involving tensor calculus, path integrals, or many-body formalism
  • Literature-Grounded Review: Check that reasoning aligns with established results in your subfield
  • Difficulty Calibration: Rate whether a problem is appropriately hard for the intended difficulty tier

Best Platforms: Mercor almost exclusively for these narrow tracks

Typical Pay: $70-$225/hr, among the highest rates on this list; Mercor's part-time physics researcher track runs $125-$225/hr, and its named subfield tracks (general relativity, string theory/QFT, statistical mechanics/condensed matter) run $70-$90/hr

Time Commitment: Part-time friendly, often 5-15 hrs/week

Computational & Scientific Computing Physics

If your physics background comes with real coding chops, simulation work, numerical methods, scientific computing, this track combines both skill sets. It's a good fit if you're less interested in pure derivation and more interested in code that models physical systems.

Common Tasks:

  • Simulation Review: Check AI-generated code that models physical systems for correctness
  • Numerical Methods Verification: Verify AI's choice and implementation of numerical techniques
  • Code Quality Assessment: Evaluate scientific computing code for efficiency and correctness
  • Reproducibility Checks: Confirm results are reproducible and match expected physical behavior

Best Platforms: Turing (dedicated computational and scientific computing physics tracks), Micro1 (Computational Physics Expert role)

Typical Pay: $15-$70/hr; Turing's roles run $15-$70/hr depending on seniority, Micro1's computational track runs $40-$60/hr

Time Commitment: Flexible, project-based

Postdocs, Professors & Principal Investigators

Micro1 runs a set of roles specifically tiered by academic seniority, postdoc, junior professor, and full professor/PI. If you're currently in or recently out of academia, these tend to pay the most on this list, reflecting the depth of research experience expected.

Common Tasks:

  • Research-Grade Problem Design: Write problems at the level of graduate qualifying exams or research literature
  • Deep Review: Evaluate model reasoning against the standard you'd expect from a strong graduate student or postdoc
  • Mentorship-Style Feedback: Write detailed critiques of where and why model reasoning falls short
  • Calibration Across Difficulty Tiers: Help set the bar for what counts as PhD-level vs. postdoc-level rigor

Best Platforms: Micro1 (only platform currently running dedicated academic-seniority tiers for physics)

Typical Pay: $70-$160/hr, scaling with seniority; postdoc/junior professor runs $80-$150/hr, professor/PI runs $80-$160/hr

Time Commitment: Project-based; works well alongside a research or teaching schedule

QA, Adjudication & Auditing Roles

Not every physics role requires a PhD. Adjudication and auditing tracks review other reviewers' work, checking consistency, catching disagreements, and maintaining quality, and they're a lower barrier to entry than the PhD-only tracks above.

Common Tasks:

  • Adjudication: Resolve disagreements between two reviewers' assessments of the same problem
  • Quality Auditing: Spot-check completed reviews for consistency and rigor
  • Rubric Enforcement: Ensure reviewers are applying grading criteria consistently
  • Feedback Loops: Flag recurring reviewer errors back to the project team

Best Platforms: Micro1 (Senior Physics Adjudicator, Physics Research Auditor, Physics Research Expert Solver), SME Careers (Physics Quality Assurance Lead)

Typical Pay: $75-$110/hr; Micro1's adjudication and auditing roles run $80-$110/hr, SME Careers' QA Lead role runs up to $75/hr

Time Commitment: Flexible, typically 10-20 hrs/week

Best Platforms by Role

Browse physics jobs and the wider STEM category directly.

Platform Best For Pay Range Geography
Mercor Widest range of tracks, including the highest-paying subfield and part-time roles $60-$225/hr Remote; many roles restricted to US/UK/Canada/Europe undergrad or grad degrees
Micro1 Academic-seniority tiers (postdoc through PI) and QA/adjudication roles $20-$160/hr Mostly global remote, some UK/Canada-specific roles
Turing Computational and scientific-computing physics roles $12-$70/hr Remote; a few roles open to specific countries
SME Careers Applicants outside the US/UK/EU; QA lead role $22-$75/hr 40+ countries, no Tier-1 restriction; paid weekly via Deel
AfterQuery Designing and evaluating physics reasoning scenarios Varies by project Global

A note on SME Careers: it's a solid secondary option if you're outside a Tier-1 country, but its physics bench is thinner than Mercor's or Micro1's, a couple of open roles rather than a dozen. Start with Mercor or Micro1 first, and treat SME Careers as a backup rather than your primary channel.

What the Work Looks Like

Most physics AI work falls into a few categories. Here's what a typical session might involve:

Scenario 1: Problem Authoring (PhD Physicist)

You write a multi-step mechanics or quantum problem designed so that a model can't shortcut its way to the right answer. Your job:

  • Design a scenario that requires genuine derivation, not formula lookup
  • Work out the full solution yourself first, including intermediate steps
  • Set the difficulty appropriately for the intended tier
  • Write a clear grading rubric for what counts as a correct step

Time: ~1-3 hours per problem

Scenario 2: Solution Review (Subfield Specialist)

An AI model produces a full derivation for a general relativity or QFT problem. Your job:

  • Check each step for mathematical and physical correctness
  • Identify the exact step where reasoning breaks down, if it does
  • Distinguish a lucky correct answer from one reached through sound reasoning
  • Write annotations explaining the error in terms another physicist would understand

Time: ~30-90 minutes per solution

Scenario 3: Adjudication (QA/Adjudicator)

Two reviewers disagree on whether a model's solution is correct. Your job:

  • Independently work through the problem to form your own judgment
  • Determine which reviewer's assessment is correct, and why
  • Document the reasoning so it can be used to calibrate future reviews
  • Flag if the underlying rubric itself needs clarification

Time: ~20-40 minutes per case

How to Get Started

Step 1: Gather Your Credentials

Have these ready before you apply:

  • CV highlighting your physics degree(s) and research focus
  • Diploma or degree certificate
  • List of publications or thesis topic, especially for subfield-specific roles
  • Optional: writing samples showing clear technical explanation

Step 2: Choose Platforms Based on Your Profile

  • If you have a narrow subfield focus: Start with Mercor's subfield tracks, they pay the most for exactly that specialization
  • If you're a postdoc, junior professor, or PI: Micro1's academic-seniority tiers are built for you
  • If you're strong in coding and simulation: Turing's computational physics tracks or Micro1's Computational Physics Expert role
  • If you don't have a PhD but have solid physics grounding: Look at Micro1's or Turing's adjudication and specialist tracks
  • If you're outside the US, UK, or EU: Check SME Careers, but keep applying to Mercor and Micro1 too since SME Careers' physics openings are limited

Step 3: Pass the Assessment

Most platforms have a qualification test. Tips:

  • Block out uninterrupted time (1-2 hours)
  • Use a desktop/laptop, not mobile
  • Show your full derivation, not just the final answer
  • Read instructions carefully; they're testing attention to detail as much as physics knowledge
  • Write clear justifications for each step of your reasoning

Step 4: Set Up Payments

Most platforms use Deel or similar payroll services. You'll need:

  • Bank account info for direct deposit
  • Tax information (W-9 if US, tax ID if international)
  • Contract details reviewed; you're typically a contractor

Common Questions from Physicists

Do I need a PhD to get any of these roles? β–Ό

No. The highest-paying roles (Mercor's subfield tracks, academic-track roles) do ask for a PhD or an advanced degree in progress, but QA and adjudication roles, along with some of Turing's and Micro1's entry tracks, are open to strong master's-level or advanced undergraduate physics backgrounds.

What does the work involve day to day? β–Ό

Mostly writing and checking physics problems: setting up multi-step problems that require real derivation rather than pattern matching, verifying an AI model's worked solution line by line, and flagging where its reasoning breaks down even if the final answer looks right.

Can I do this alongside a postdoc or faculty position? β–Ό

Yes, that's who a lot of these roles are built for. Work is project-based and asynchronous, so you're not tied to fixed hours. Check your institution's outside-work policy if you're on a research contract, since some universities require disclosure of paid consulting.

Why do the subfield roles (string theory, particle physics, cosmology) pay more? β–Ό

Fewer qualified reviewers exist for narrow subfields, and the problems are harder to write well. A generalist physics reviewer can't reliably check general relativity or QFT work, so platforms pay a premium for people who can.

Is SME Careers a good option for physicists? β–Ό

It's worth applying if you're outside the US, UK, or EU and want a platform with no Tier-1 restriction, but its physics bench is thinner than Mercor's or Micro1's right now: a couple of roles rather than a dozen. Use it as a secondary option, not your primary channel.

How is pay structured? β–Ό

Almost all of these are hourly contractor roles, with a few paid per completed task. Rates scale with degree level and subfield rarity: general PhD roles run roughly $70 to $100/hr, while narrow subfields and postdoc/professor tracks can reach $150 to $225/hr.

Related guides

Mercor review: premium rates for PhD physicists and subfield specialists with verifiable credentials.

Micro1 review: academic-seniority tiers from postdoc through principal investigator, plus QA and adjudication roles.

AfterQuery review: pay schedule and platform mechanics for its physics scenario-design roles.

SME Careers review: a global option with no Tier-1 restriction, though its physics bench is limited.

Browse Mercor jobs: current physics PhD, subfield, and part-time openings.

Browse Micro1 jobs: current physics expert, academic-track, and adjudication openings.

Browse Turing jobs: current computational and scientific-computing physics openings.

Pietro R., founder of aitrainer.work

Pietro R.

MSc Human-Computer Interaction | Founder & Product Owner

Pietro is the founder and technical lead of aitrainer.work. He builds and maintains the platform's data pipeline, certification infrastructure, and editorial standards.

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Last updated: July 17, 2026