About the job
Please submit your CV in English and specify your English proficiency level.
Mindrift connects experienced specialists with project-based AI initiatives for leading technology companies. The team focuses on testing, evaluating, and improving AI systems. This is a freelance, project-based role and not a permanent position.
Role overview
As a Freelance Quantum Research Scientist & AI Trainer, assignments span a variety of projects, each presenting unique challenges. Work centers on crafting and validating computational physics problems that reflect real research practices. Tasks often require advanced Python programming and a strong grasp of physics concepts.
- Create original computational physics problems modeled on authentic research methods
- Develop problems that require Python programming to solve, often using libraries such as Numpy, SciPy, and Sympy
- Design computationally intensive tasks unsolvable by hand within reasonable timeframes
- Formulate problems involving advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics
- Base tasks on real-world research scenarios or practical physics applications
- Validate solutions using Python and established physics simulation libraries
- Document problem statements clearly and provide verified solutions
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, SciPy, or similar tools is also acceptable
- At least 2 years of professional experience, including research or teaching
- Background in numerical simulation techniques
- Ability to design problems that mirror real-world physics research workflows
- Creative approach to problem formulation across different physics domains
- Understanding of physics modeling and approximation methods
- Strong written English skills (C1 level or above)
How to apply
- Apply
- Complete qualification(s)
- Join a project
- Fulfill assigned tasks
- Receive compensation
Time commitment
During active projects, expect to dedicate roughly 10–20 hours per week. Actual hours may vary with project needs.
Compensation
Earn up to $17 per hour, depending on contribution and pace. Rates vary by project scope, complexity, and required expertise. Other projects on the platform may offer different compensation structures.
Location: Remote , Uruguay

