Open AI training and model evaluation roles that call for Physics expertise, gathered from 5 platforms. Part of Science & Research.
Pay figures cover the 29 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role invites PhD-level applied physicists to evaluate and improve how AI models reason about physical systems. You will design advanced physics problems, author rigorous solutions, audit AI-generated reasoning for physical consistency, and provide expert feedback to refine model behavior across classical mechanics, electrodynamics, quantum mechanics, and related domains.
This role involves evaluating and improving large language models' understanding of physics by designing advanced problems, authoring ground-truth solutions, and auditing AI-generated reasoning across quantum mechanics, electrodynamics, thermodynamics, and other domains. It is suited for PhD-level applied physicists who want to contribute to AI training while working independently on a flexible schedule.
A physics expert will design and evaluate problems across multiple physics domains to help train and refine AI models. The role involves creating rigorous physics problems, developing detailed solutions, assessing AI responses for accuracy and reasoning quality, and providing feedback to improve AI systems' physics comprehension.
This contract role asks physicists with a PhD to judge and improve the physics material used to train advanced AI systems. The work covers writing hard problems, checking AI-generated solutions for errors, and labeling concepts so models learn the structure of the field. It suits remote experts who can work independently and do not need prior AI experience.
This contract role asks a physics specialist to label and organize physics material used to train AI models. The work includes reviewing AI-generated solutions to physics problems and helping build training datasets across topics and difficulty levels. It suits candidates with research, teaching or applied problem-solving experience in physics.
This is a remote, hourly contract role for physicists who want to help AI models reason through hard science problems. The work centers on writing challenging physics problems with worked solutions and on checking how AI systems handle them, from undergraduate to PhD level. No prior AI background is needed, only strong physics knowledge and clear written communication.
This is a remote, hourly contract for physics graduates and current Masters students who want to help train and evaluate advanced AI models. The work is writing physics problems, solving them step by step, and judging whether AI-generated answers are scientifically accurate and well reasoned.
This remote contract asks a physics expert to write advanced problems that test how well AI models reason, along with clear step-by-step solutions. The work also includes checking AI-generated answers for accuracy and quality of reasoning, and helping researchers refine benchmarks. It is aimed at people holding a master's degree in physics or a related field, and no prior AI experience is needed.
This freelance contract role asks physics specialists to design hard problems and write clear step-by-step solutions that help train AI models. The work also includes checking AI-generated answers for scientific accuracy and quality of reasoning. It suits physicists with a master's-level background who can work independently and asynchronously.
This role involves evaluating AI models' physics reasoning across mechanics, electromagnetism, quantum mechanics, and thermodynamics. You will create problems to test AI understanding, identify errors in AI solutions, and write gold-standard solutions that clearly explain the physics at each step.
You design and configure 3D environments and assets in robotic simulation engines, transposing real-world objects and instruments into virtual worlds. Your role is to ensure that simulations faithfully reproduce the geometry, scale, materials, and physical behavior of real elements, so as to provide high-quality training data to AI systems. This role is intended for experts in simulation and 3D modeling who master the principles of physical dynamics.
Posted October 3, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
You will work on research physics problems in optics, atomic physics or molecular physics, by creating, solving, reviewing or auditing challenges designed to evaluate the reasoning capabilities of frontier AI models. This role is for physicists who have published on specific phenomena in one of seven areas of specialization and are capable of producing research-quality work with detailed written reasoning.
Posted September 25, 2026
You will work on a research benchmark in condensed matter physics, by creating, solving, revising, or auditing advanced physics problems designed to test AI models. This role requires published expertise in a specific area of condensed matter and the ability to present your reasoning in a complete and verifiable manner for review by a peer specialist.
Posted September 25, 2026
This role offers physicists specialized in fluid dynamics the opportunity to contribute to CritPt, a research benchmark testing the physical reasoning capabilities of frontier AI models. You will create, solve, or review research problems on linear stability of buoyancy-driven convection, in Rayleigh-Bénard or porous media, depending on your publication domain.
Posted September 25, 2026
You will contribute to the creation and evaluation of research physics challenges for an AI benchmark designed to test the reasoning capabilities of frontier models in gravitation, cosmology, and high-energy astrophysics. Depending on your publication profile, you will create problems, solve them, examine others, or audit them, producing research-quality work with rigorous written reasoning. This role is intended for PhD holders in theoretical physics who have published specifically on twisted gravity, axionic inflation, or multimessenger astrophysics.
Posted September 25, 2026
This role involves working on fundamental physics problems at research level for the CritPt benchmark, which evaluates the reasoning capabilities of AI models in advanced theoretical physics. Based on your profile and publications, you will create problems, solve them, review work or verify it in your area of specialization. This role is intended for high energy physicists who have published in one of seven specified domains and who master the relevant methods.
Posted September 25, 2026
This role invites mathematical physicists to contribute to a research benchmark in fundamental physics, designed to assess whether cutting-edge AI models can solve real research problems in physics. You will work on specialized challenges in one of four proposed domains (special functions, integrable systems, permutation combinatorics, conformal geometry), creating, solving, reviewing, or validating problems at the level of academic research.
Posted September 25, 2026
This role involves contributing to the creation and evaluation of research-level quantum physics problems for a benchmark designed to test the reasoning capabilities of state-of-the-art AI models. Depending on your area of specialization and publication record, you may create problems, solve them, review the work of others, or audit it. This work requires solid training in quantum information physics and verifiable publication in one of the twelve specified research domains.
Posted September 25, 2026
This role involves contributing to the creation and evaluation of research-level physics challenges for a benchmark designed to test the physical reasoning capabilities of AI models. The work involves creating problems, solving them, examining solutions or auditing them in your area of specialization in statistical physics. This role is intended for PhDs in statistical physics with published experience on specific phenomena and who master the corresponding mathematical and computational methods.
Posted September 25, 2026
This role involves contributing to a research benchmark in physics aimed at evaluating the reasoning capabilities of AI models on authentic research problems. Depending on your area of specialization and profile, you will develop problems, solve them, review the work of other researchers or audit it, with an emphasis on scientific rigor and clarity of writing.
Posted September 25, 2026
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FAQ
30 Physics AI training jobs are open on SideHustler today. 1 was posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 29 open roles that publish an hourly rate in USD, pay runs from $20 to $200 per hour, with a median of $85. These are the rates the platforms publish, not a guarantee of income or hours.
Mercor (15), Alignerr (9), micro1 (4), DataAnnotation (1) and Terac (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Physics, Scientific Writing, AI Evaluation, Experimental Design, Machine Learning. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
