About the job
Please submit your CV in English and include your English proficiency level.
Mindrift connects 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 and not a permanent position.
Role overview
This freelance position is for optical engineers with strong Python skills who are interested in flexible, part-time work. Projects center on creating and validating computational physics problems that reflect real research and practical scenarios.
What you will do
- Create original computational physics problems based on actual research workflows.
- Develop problems that require Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy.
- Design computationally intensive challenges that cannot be solved manually in a short timeframe.
- Construct problems involving complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Base scenarios on real research or practical physics applications.
- Validate solutions using Python and established physics simulation libraries.
- Document problem statements clearly and provide accurate 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, domain-specific libraries, Stata, or other programming languages is valued.
- At least 2 years of professional experience in applied work, research, or teaching.
- Background in numerical simulation techniques.
- Ability to design problems that mirror authentic research workflows in physics.
- Creative problem-solving skills across multiple areas of physics.
- Understanding of physics modeling and approximation methods.
- Excellent written English skills at C1 level or above.
Process
Apply, pass qualifications, join a project, complete tasks, and receive compensation.
Time commitment
Active projects 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 vary 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.

