Physics Researcher (Python) - Freelance AI Trainer

MindriftMindrift·Remote(Portugal)
AI & Machine Learning

WFA Digital Insight

As the demand for AI specialists grows, physicists with strong Python skills are in high demand. Mindrift's freelance AI trainer role stands out in the remote job market, offering a unique chance to work on project-based AI opportunities for leading tech companies. With the rise of AI, professionals with a degree in Physics and experience in numerical validation can capitalize on this trend. Before applying, candidates should be prepared to showcase their strong written English and Python proficiency.

Job Description

About the Role

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Responsibilities

  • 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

Requirements

  • Degree in Physics or related fields
  • 3+ years of professional physics experience
  • Strong written English (C1/C2)
  • Strong Python proficiency for numerical validation
  • Stable internet connection

Nice to Have

  • Professional certifications (e.g., CPhys, EurPhys, MInstP) and experience in international or applied projects

How to Stand Out

  • Familiarize yourself with Python libraries like NumPy, Pandas, and SciPy to improve your chances of success in this role.
  • Showcase your ability to design rigorous physics problems and validate AI solutions in your portfolio or resume.
  • Highlight your experience working on project-based initiatives and collaborating with cross-functional teams.
  • Develop a strong understanding of industry-standard logic and scoring criteria to stand out in the application process.
  • Be prepared to discuss your experience with numerical validation and how you've applied it in previous roles.

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