
Computational Physics Expert | $40-$60/hr Remote
Listing checked September 1, 2026 · pay as published by Micro1
Overview
This role sits at the intersection of computational physics and artificial intelligence. You’ll apply your deep scientific expertise to help train next-generation AI systems, ensuring they reason accurately and learn from high-quality real-world physics data. Your work will directly influence how models handle complex simulations, numerical modeling, and scientific analysis.
What You'll Do7
- 1Use your advanced knowledge of computational physics to produce high-quality insights that improve AI evaluation projects.
- 2Analyze, interpret, and synthesize large-scale scientific datasets and experimental outcomes to inform model training.
- 3Develop, review, and refine quantitative models, simulations, or workflows across relevant physics domains such as particle physics or astrophysics.
- 4Collaborate with interdisciplinary teams to enhance AI model capabilities in scientific reasoning and problem-solving.
- 5Apply advanced numerical methods and computational techniques—like Monte Carlo methods or HPC workflows—to tackle real-world physics challenges.
- 6Document findings and clearly communicate complex scientific concepts through both written reports and verbal discussions.
- 7Uphold rigorous standards of scientific integrity and accuracy in all deliverables.
Requirements7
- 1A PhD in physics or a closely related field, or equivalent industry/research experience.
- 2Proven expertise in computational physics, scientific computing, or simulation-heavy research.
- 3Strong programming skills in Python, C++, and MATLAB, plus familiarity with scientific tools like ROOT.
- 4Hands-on experience with numerical simulations, Monte Carlo methods, or HPC workflows.
- 5Exceptional analytical, quantitative, and mathematical reasoning abilities.
- 6Demonstrated ability to perform experimental or scientific data analysis.
- 7Excellent written and verbal communication skills, with the capacity to explain complex topics to diverse audiences.
Who Should Apply
This role is ideal for a PhD-level physicist or computational scientist who thrives at the frontier of physics and AI. You likely have a background in particle physics, astrophysics, plasma/fusion, or quantum systems, and you’re comfortable translating your research into practical contributions that improve machine learning models. A track record of published research and experience with AI/ML workflows or scientific benchmarking will set you apart.
Salary Insight
The role offers $40–$60 per hour as a contractor position, with fully remote work.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$70/hour
This role
$40–$60/hr
Most Machine Learning & AI roles pay $50–$100 per hour. This role's pay falls inside that range.
Based on 638 similar roles that publish pay · 104 publish only a top rate; those count at the rate they gave
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Most requested skills · share of roles
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- llm evaluation7%
- ai training6%
- quality assurance6%
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Compensation
$40–60/hr
Required Skills
Application Tip
When applying, include a brief example of a project where you used numerical simulations or Monte Carlo methods to solve a physics problem and explain how that work could inform AI training. Highlight any experience you have with scientific benchmarking or evaluating model outputs.
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