Computational Physics Expert
Micro1 • Remote
Education
Any
Type
hourly
Pay Rate (by country)
$40–$60/hr
Actively Hiring
10 openings
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About this Role
From the Micro1 listing
Job Title: Computational Physics Expert Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities
- Leverage deep expertise in computational physics to contribute high-quality insights to AI evaluation projects.
- Analyze, interpret, and synthesize large-scale scientific data sets and experimental results.
- Develop, review, and refine quantitative models, simulations, or workflows in relevant physics domains.
- Collaborate with interdisciplinary teams to inform and improve AI model capabilities in scientific reasoning.
- Apply advanced numerical methods and computational techniques to real-world physics challenges.
- Document findings and communicate complex concepts clearly in both written and verbal formats.
- Maintain high standards of scientific integrity and accuracy in all project deliverables.
Required Skills and Qualifications
- PhD in physics or a closely related field, or equivalent industry/research experience.
- Expertise in computational physics, scientific computing, or simulation-heavy research is desirable.
- Proficiency with Python, C++, MATLAB, and scientific tools such as ROOT would be ideal.
- Experience working with numerical simulations, Monte Carlo methods, or HPC workflows.
- Strong analytical, quantitative, and mathematical reasoning abilities.
- Demonstrated experience in experimental or scientific data analysis.
- Excellent written and verbal communication skills; ability to convey complex topics to diverse audiences.
Preferred Qualifications
- Background in particle physics, astrophysics, plasma/fusion, or quantum systems.
- Experience with AI/ML workflows, scientific benchmarking, or evaluation practices.
- Track record of published research or contributions to scientific literature.
Requirements
- computational physics
- scientific computing
- python
- c++
- matlab
- root
- numerical simulations
Key Responsibilities
- Leverage deep expertise in computational physics to contribute high-quality insights to AI evaluation projects.
- Analyze, interpret, and synthesize large-scale scientific data sets and experimental results.
- Develop, review, and refine quantitative models, simulations, or workflows in relevant physics domains.
- Collaborate with interdisciplinary teams to inform and improve AI model capabilities in scientific reasoning.
Why This Role
Rare opportunity for top 1% experts. Earn $50/hr contributing to the world's most advanced AI labs. This is one of the few roles where academic precision is valued as highly as commercial output.
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Frequently Asked Questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
Is academic-niche AI training just data labeling?
No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.
Do I need a PhD for academic-niche AI training roles?
For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what actually decides it: if you can solve the problems, the degree becomes secondary.
Is academic-niche AI training a continuous job?
Usually not. Work runs in campaigns, like training a model specifically on quantum mechanics, that might last a few weeks. Treat it as a high-paying fellowship or grant rather than a permanent daily job.
What does STEM work look like for a Computational Physics Expert?
Tasks here are scoped to STEM, not generic labeling. As a Computational Physics Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 10 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
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