About the job
Please submit your CV in English and indicate your English proficiency level.
Mindrift connects specialists with project-based AI work for leading technology companies. This freelance position focuses on testing, evaluating, and improving AI systems. The role is project-based and not a permanent placement.
Role overview
As a Freelance AI Trainer (Research Physicist with Python Skills), you will design and validate computational physics problems to support AI development. The work is remote within Sweden and organized around specific projects.
What you will do
- Create original computational physics problems that reflect real-world research workflows
- Formulate problems that require Python programming for solutions, using libraries such as NumPy, SciPy, and SymPy
- Ensure problems are computationally intensive and not solvable manually within a reasonable timeframe
- Develop challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics
- Design problems inspired by actual research or practical applications in physics
- Validate solutions using Python and standard physics simulation libraries
- Document problem statements clearly and provide verified solutions
Requirements
- Degree in Physics (theoretical, experimental, or computational) or a related field
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, NumPy, Pandas, SciPy, or similar tools is valued
- At least 2 years of relevant professional experience (applied, research, or teaching)
- Experience with numerical simulation methods
- Ability to design problems that mirror authentic physics research workflows
- Creative problem-solving skills across multiple physics domains
- Understanding of physics modeling and approximation techniques
- Strong written English skills (C1 level or higher)
How projects work
The process includes: application, passing qualifications, joining a project, completing tasks, and receiving payment.
Time commitment
During active project phases, expect roughly 10–20 hours per week, depending on project needs. Actual workload may vary.
Compensation
Earn up to $45 per hour, depending on contribution and project scope. Compensation varies by project based on complexity and required expertise. Other projects on the platform may offer different pay structures.

