Role Description
Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.
What this opportunity involves:
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Design original computational physics problems that simulate real physics research workflows.
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Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).
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Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
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Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
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Base problems on real research challenges or practical applications from physics practice.
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Verify solutions using Python with standard physics simulation libraries.
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Document problem statements clearly and provide verified correct answers.
Qualifications
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Degree in Physics (Theoretical, Experimental, or Computational) or related fields.
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Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent.
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2+ years of professional experience: applied, research, or teaching experience is applicable.
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Experience with numerical simulation methods.
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Ability to design problems that mirror real physics research workflows.
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Creative thinking in problem design across diverse physics areas.
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Familiarity with physics modeling and approximation techniques.
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Strong written English (C1+).
Requirements
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This opportunity is a good fit for quantum researchers with experience in Python open to part-time, non-permanent projects.
Benefits
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Contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.
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Compensation varies across projects depending on scope, complexity, and required expertise.
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Please note that other projects on the platform may offer different earning levels based on their requirements.
Project time expectations
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Tasks are estimated to require around 10β20 hours per week during active phases, based on project requirements.
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This is an estimate, not a guaranteed workload, and applies only while the project is active.