About the job
Please submit your CV in English and state your English proficiency level.
About Mindrift
Mindrift connects skilled professionals with project-based AI work for leading technology companies. The focus is on testing, evaluating, and improving AI systems. This is a freelance, project-based role, not a permanent position.
Role Overview
This freelance opportunity is designed for optical engineers with strong Python skills who want flexible, part-time work. Projects involve creating and validating computational physics problems that mirror real research and practical applications.
What You Will Do
- Create original computational physics problems that reflect actual research workflows.
- Develop problems requiring Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy.
- Ensure problems are computationally intensive and not solvable manually within a few days or weeks.
- Design challenges involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Base problems on real research scenarios or practical physics applications.
- Validate solutions with Python and established physics simulation libraries.
- Document problem statements clearly and provide accurate solutions.
What We Look For
- Degree in Physics (theoretical, experimental, or computational) or a related discipline.
- Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or other programming languages is also valued.
- At least 2 years of professional experience in applied work, research, or teaching.
- Background in numerical simulation techniques.
- Ability to design problems that represent authentic research workflows in physics.
- Creative problem-solving across multiple areas of physics.
- Understanding of physics modeling and approximation methods.
- Excellent written English skills (C1 level or above).
How the Process Works
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated
Time Commitment
During active projects, tasks typically require 10–20 hours per week. Actual workload depends on project needs and may vary.
Compensation
Earn up to $17 per hour, depending on expertise and task completion rate. Pay may differ by project scope, complexity, and required skills. Other projects on the platform may offer different rates.
Location
This is a remote position based in Uruguay.

