About the job
Please submit your CV in English and specify your English proficiency level.
About Mindrift
Mindrift connects skilled specialists with project-focused AI initiatives for leading technology companies. The team works on testing, evaluating, and improving AI systems. This is a project-based, freelance role, not a permanent position.
Role Overview
Freelance Quantum Research Scientists & AI Trainers contribute to a range of projects, each with distinct challenges. Typical tasks include:
- Creating original computational physics problems modeled on authentic research methods
- Developing problems that require Python programming to solve, often using libraries like Numpy, SciPy, and Sympy
- Designing computationally intensive tasks that cannot be solved manually within a reasonable timeframe
- Formulating problems demanding advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics
- Basing tasks on real-world research scenarios or practical physics applications
- Validating solutions with Python and established physics simulation libraries
- Documenting problem statements clearly and providing verified solutions
Who We’re Looking For
This project suits quantum researchers with strong Python skills, interested in part-time, temporary assignments. Preferred qualifications:
- 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 languages/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 project periods, expect to spend about 10–20 hours per week, depending on project requirements. Actual workload may vary.
Compensation
Earn up to $17 per hour, depending on contribution and pace. Rates vary by project based on scope, complexity, and expertise required. Other projects on the platform may offer different compensation structures.
Location: Remote , Uruguay

