Physics & Python Expert - Freelance AI Trainer

Please submit your CV in English and indicate your level of English proficiency.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 involvesWhile each project involves unique tasks, contributors may:

• Design rigorous physics problems reflecting professional practice;
• Evaluate AI solutions for correctness, assumptions, and constraints;
• Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
• Improve AI reasoning to align with industry-standard logic;
• Apply structured scoring criteria to multi-step problems.

What we look forThis opportunity is a good fit for physicists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:

• Degree in Physics or related fields, e.g.

  Engineering

  Physics, Thermodynamics, Statistical Mechanics, Optics and Acoustics, etc.

• 3+ years of professional physics experience

Strong written English (C1/C2)

• Strong Python proficiency for numerical validation

Stable internet connection

Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects are an advantage.How it worksApply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectationsFor this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.Payment

• Paid contributions, with rates up to $42/hour*
• Fixed project rate or individual rates, depending on the project
• Some projects include incentive payments

*Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

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