MercorDomain experts
Atomic, Molecular and Optical Physicist (PhD)
up to $110/hr
About this role, in Mercor's words
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 and we recommend reading it before applying. It will tell you quickly whether this work interests you.
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Mercor's words
Posted by Mercor, reproduced here so you can judge the role before clicking. Original posting ↗
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 and we recommend reading it before applying. It will tell you quickly whether this work interests you.
We are engaging physicists to work on research-level physics problems in their own subfield. Depending on where your publication record fits, that can mean creating problems, solving them, reviewing completed work, or auditing it. We agree the specific assignment with you once you are matched to an area.
This is research-grade work rather than volume work. Whatever you produce has to be complete enough for another specialist in your subfield to follow and verify independently, so written reasoning is part of every assignment.
Research areas in this panel
Seven areas. We match narrowly: you need to have published on one of these specific phenomena, not in AMO broadly. Each area lists the methods it requires.
1. Strong-field and high-harmonic generation, structured light and angular momentum: High-harmonic generation, orbital angular momentum of structured light, spin angular momentum and optical helicity, angular momentum conservation selection rules, self-torque of light, strong-field light-matter interaction.
2. Levitated optomechanics: optical binding and dipole-dipole coupled oscillators: Levitated optomechanics, optical tweezers, optical binding, light-induced dipole-dipole interactions, Rayleigh point-dipole approximation, Gaussian beam propagation, nonreciprocal coupling, coupled harmonic oscillator normal modes.
3. Levitated optomechanics: torsional and librational modes of anisotropic nanoparticles: Levitated optomechanics, torsional and librational modes, anisotropic polarizability of dielectric ellipsoids, optical tweezers, light-induced dipole-dipole torques, rigid-body rotational dynamics, harmonic quantization of small oscillations, beam-splitter coupling Hamiltonians.
4. Precision measurement: Penning-trap quantum cyclotron, cavity QED radiative shifts: Geonium theory of Penning traps, single-electron quantum cyclotron, cavity quantum electrodynamics mode structure, quantization of the radiation field, non-relativistic perturbation theory, dipole approximation, radiative frequency shifts and self-energy subtraction, electron magnetic moment tests of quantum electrodynamics.
5. Ultracold atoms in optical lattices: tight-binding and Wannier parametrization: Optical lattice potentials from laser interference, AC Stark shift and atomic polarizability, tight-binding lattice Hamiltonians, Wannier function formalism, harmonic approximation of lattice wells, s-wave contact pseudopotential, recoil energy and deep-lattice expansion, quantum simulation with ultracold fermions.
6. Cavity QED: Jaynes-Cummings, dark states, open-system steady states: Cavity quantum electrodynamics, Jaynes-Cummings interaction, bright and dark atomic states, Lindblad master equations, spontaneous emission into free space, coherent states of the radiation field, steady states of open quantum systems, photon-number coherences and decoherence.
7. Few-body physics: Efimov effect, hyperspherical methods, zero-range universality: Efimov effect, hyperspherical coordinates and hyperangular channel functions, zero-range Bethe-Peierls boundary conditions, discrete scale invariance in the three-body problem, bosonic permutation symmetrization, universality at large scattering length, wave-function overlap integrals.
Methods we expect to find in your own publications
You should be able to point to your own papers demonstrating at least one of the following families:
• Light-matter: high-harmonic generation, angular momentum conservation selection rules, strong-field light-matter interaction, AC Stark shift and atomic polarizability
• Trap and oscillator dynamics: optical tweezers, Gaussian beam propagation, rigid-body rotational dynamics, harmonic quantization of small oscillations, beam-splitter coupling Hamiltonians
• Open quantum systems: Lindblad master equations, spontaneous emission into free space, photon-number coherences and decoherence
• Precision QED: non-relativistic perturbation theory, dipole approximation, self-energy subtraction, radiative frequency shifts
• Lattice and few-body: Wannier function formalism, s-wave contact pseudopotential, hyperspherical coordinates, zero-range boundary conditions
Who we are looking for
A PhD in atomic, molecular or optical physics or a closely related field. This is a hard requirement. Postdoctoral researchers, research scientists and junior faculty are the strongest fit. Senior PhD students with a strong first-author record are welcome to apply.
Published work on the specific phenomenon above, not the adjacent one. This is the single most common reason we decline otherwise excellent physicists. Command of the methods is not enough if you have not published on the phenomenon itself.
A verifiable publication record. Three to five representative papers with arXiv IDs or DOIs, ideally from the last five years. First author strongly preferred. Every paper you list will be checked against the public record.
Working proficiency with LaTeX, Python, SymPy and Jupyter. Some familiarity with an agentic coding extension in VS Code is useful. Gaps here are acceptable if you declare them honestly.
English at B2 or above , including written reasoning. A large part of the value you add is how clearly you set out your argument.
Application steps
• Apply and complete the attached form. Basic information, education, research experience, your method self-attestation, and up to five of the areas above that you are the best fit for. For each area you select, give an arXiv ID or DOI of your own paper as proof, with your author position and the methods it demonstrates. A selection without proof is not scored.
• We verify your papers and authorship against the public record.
• Then one of two things happens. Either we onboard you directly, or we invite you to a short live alignment call to agree the area and the assignment with you.
• A brief 30 to 45 minute assessment may be added, but only where we need it. Most applicants will not see one.
Commitment and rate
10 hours per week , sustained across an 8 to 10 week window, starting immediately. Remote and asynchronous with no fixed hours.
$80 to $110 per hour , set by depth of subdomain match.
Working with MercorPay, getting started and work, from Mercor's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Hourly work is paid every Wednesday for the previous week, through Stripe Connect or Wise, whichever Mercor assigns to your region. Stripe holds the first payout for 7 days. talent.docs.mercor.com/how-to/payments, talent.docs.mercor.com/policies/contracts
- Before your first paid task
- An AI interview of about 20 minutes, reused for other roles that need it, then any assessments the role asks for. Before logging hours: ID verification through Persona, a tax form, the contract documents, the Insightful time tracker, and a background check the onboarding guide says usually takes one to two weeks. talent.docs.mercor.com/support/ai-interview, talent.docs.mercor.com/how-to/apply, talent.docs.mercor.com/policies/contracts, talent.docs.mercor.com/how-to/id-verification, talent.docs.mercor.com/working/project-onboarding
- How much work
- Hearing back after the AI interview usually takes 2 to 4 weeks. When a project ends you are not moved to a new one automatically. talent.docs.mercor.com/support/ai-interview, talent.docs.mercor.com/support/project
- Contract
- Independent contractor with Mercor.io Corporation of San Francisco, which deducts no taxes. talent.docs.mercor.com/policies/taxes-work-authorization, talent.docs.mercor.com/support/legal
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
Alex's experience on MercorA personal account, not a promise about your project
Alexruns this site and has worked on Mercor himself. Written 31 Aug 2026.
- Every interview I took used an AI interviewer. They always checked my microphone and camera and asked me to share my screen, and some included a timed exercise of around 25 minutes.
- Many later applications needed no new interview from me. With the required assessments complete and no other outstanding steps, applying could be close to one click.
- The application I checked did not ask for a rate. My offer matched my minimum in Work Preferences. That does not establish that Mercor always caps higher offers at your preference.
- Onboarding and setup came to about 4 hours, with more security and tool setup. Of the three platforms I worked on, it was the most complicated for me. That is an estimate from my projects, not a platform average.
- Mercor required the Insightful tracker on my project. I observed app and website usage monitoring, and I am unsure which screenshot settings applied, so check the configuration.
- I was paid for hours logged, once every 14 days, and I have not experienced late or incorrect payments. That was my arrangement. Mercor's current documentation describes weekly payout cycles, so check your own offer.
One person's applications, not a promise about yours.
What happens after you apply, first-handHow 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 Mercor'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, $110, is in the middle half. Of the 260 distinct rates we count, 159 are lower and 93 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 149 | $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 (this platform) | 77 | $55 to $450 · median $120 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 25 Sep 2026, and still on Mercor's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Mercor
- First seen by AIPayList
- Last seen live
- Listing ID
- list_AAABoNeliUj7nf_u-kxIPoWx
Pay as the source states it: “80–110 USD HOUR”.
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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