AlignerrDomain experts
Applied Physics
up to $80/hr
About this role, in Alignerr's words
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they never violate the fundamental laws of the universe.
What you'll do
- Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning, mathematical derivation, and deep physical intuition
- Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" with flawless treatment of physical constants, unit conversions, and first-principles reasoning
- Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or fundamental principles
- Refine Model Behaviour — Provide structured, expert feedback that improves how AI models reason about physical systems — from classical mechanics to quantum phenomena
Candidate background
Who You Are
- Hold a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
- Have deep mastery across core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
- Can explain complex physical phenomena and mathematical derivations in clear, structured, rigorous English
- Possess an uncompromising eye for detail — units, scientific notation, dimensional analysis, and logical proof structure matter deeply to you
- Work independently with precision and consistency
- No prior AI or machine learning experience required
Nice to Have
Show all 4 itemsHide these 4 items in Nice to Have
- Experience with data annotation, scientific dataset evaluation, or quality assurance workflows
- Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools
- Background in research-level problem-setting, academic publishing, or technical writing
- Familiarity with AI language models as an end user
Quoted from selected sections of Alignerr's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
Applied Physics (AI Training)
About the Role
What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting-edge AI models — exposing the gaps in their physical reasoning and helping ensure they never violate the fundamental laws of the universe.
This is a fully remote, flexible contract role built for researchers and academics who want to apply their deep domain knowledge to one of the most consequential technology challenges of our time. No prior AI experience needed — just mastery of physics and the ability to think rigorously.
- Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week
What You'll Do
* Design Advanced Physics Problems — Craft complex, open-ended problems at PhD qualifying exam level, requiring multi-step logical reasoning, mathematical derivation, and deep physical intuition * Author Ground-Truth Solutions — Write rigorous, step-by-step "golden responses" with flawless treatment of physical constants, unit conversions, and first-principles reasoning * Audit AI Reasoning — Evaluate AI-generated simulations, derivations, and proofs for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or fundamental principles * Refine Model Behaviour — Provide structured, expert feedback that improves how AI models reason about physical systems — from classical mechanics to quantum phenomena
Who You Are
* Hold a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field * Have deep mastery across core physics pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics * Can explain complex physical phenomena and mathematical derivations in clear, structured, rigorous English * Possess an uncompromising eye for detail — units, scientific notation, dimensional analysis, and logical proof structure matter deeply to you * Work independently with precision and consistency * No prior AI or machine learning experience required
Nice to Have
* Experience with data annotation, scientific dataset evaluation, or quality assurance workflows * Proficiency with MATLAB, COMSOL, Python (NumPy/SciPy), or similar computational tools * Background in research-level problem-setting, academic publishing, or technical writing * Familiarity with AI language models as an end user
Why Join Us
* Work at the frontier of AI development alongside world-leading research labs * Fully remote and asynchronous — work on your own schedule, wherever you are * Apply your PhD-level expertise to high-impact problems that matter beyond academia * Freelance autonomy with meaningful, intellectually stimulating work * Potential for ongoing work and contract extension as new projects launch
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Alignerr's posting. How we count.
Pay across the field: Domain experts
Across 698 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $80, is in the middle half. Of the 260 distinct rates we count, 97 are lower and 155 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 148 | $24 to $200 · median $80 |
| micro1 | 136 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 27 Aug 2026, and still on Alignerr's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- 12bdefdc-75c1-449d-aaad-0d49547ec477
Pay as the source states it: “$40-80/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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