Write frontier reasoning problems, audit AI-generated physics research, and get paid for the intuition a model can't fake.
If you are an astronomer or space sciences expert who thrives on technical precision, quantitative reasoning, and physics-based problem solving, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex space science concepts.
AfterQuery is searching for Physics Experts to craft, review, and enhance physics-related reasoning problems to advance our AI labs.
Build and review expert nuclear engineering tasks used to train and evaluate frontier AI models.
Build and review expert physics tasks used to train and evaluate frontier AI models.
Design and solve complex physics problems to enhance AI model performance.
Translate CUDA/C++ code into Python using PyTorch and NumPy for physics models.
Physics AI training jobs put working physicists behind the models: writing and solving problems in classical mechanics, electrodynamics, and quantum theory, auditing AI-generated derivations, and adjudicating research-level reasoning.
They're fully remote physics jobs — for PhDs, postgraduates, and strong undergraduates — paid hourly with rates listed upfront. No lab, no relocation, no teaching load.
One profile covers every partner platform — most people are on a paid physics project within a week.
Get matchedPhysics AI training jobs put working physicists behind the models: writing and solving problems in classical mechanics, electrodynamics, and quantum theory, auditing AI-generated derivations, and adjudicating research-level reasoning.
Live physics projects typically pay $62–160/hr, with every rate posted upfront on the listing. Difficulty, seniority, and specialist credentials push rates toward the top of the band.
Yes — every project is remote and asynchronous. Work from anywhere, pick your own hours, no meetings. Apply links go straight to the hiring platform with no middlemen and no fees.
Not always. Research trajectory writing and adjudication targets PhDs and postdocs (and pays accordingly), but problem review and evaluation projects accept postgraduates and strong physics undergraduates.