About the job
Please submit your CV in English and indicate your level of English proficiency.
Mindrift connects experienced specialists to project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. All positions are freelance and do not offer permanent employment.
Role overview
This freelance role is designed for quantum research scientists with strong Python skills who want flexible, part-time work. Project tasks vary but often include creating and validating computational physics problems that reflect real research scenarios.
- Design original computational physics problems based on actual research workflows
- Develop problems requiring Python solutions, using libraries such as Numpy, SciPy, and Sympy
- Create computationally intensive problems that cannot be solved manually within a reasonable time
- Formulate problems involving complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics
- Base problems on real research challenges or practical applications in physics
- Validate solutions in Python with standard physics simulation libraries
- Document problem statements clearly and provide accurate, verified answers
Requirements
- Degree in Physics (theoretical, experimental, or computational) or a closely related field
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, or SciPy is valued
- At least 2 years of professional experience in applied research, teaching, or similar roles
- Background in numerical simulation techniques
- Ability to design problems that mirror real physics research workflows
- Creative approach to problem-solving across multiple physics domains
- Knowledge of physics modeling and approximation methods
- Strong written English skills at C1 level or above
How to apply
- Submit your application
- Complete the required qualifications
- Join a project
- Finish assigned tasks
- Receive payment
Time commitment
Project tasks typically require 10–20 hours per week during active phases. Actual workload may vary depending on project needs and is not guaranteed.
Compensation
Earn up to $35 per hour, depending on expertise and pace. Compensation may differ by project based on complexity, scope, and required skills.
Location: Remote , Queensland, Australia

