About the job
Please submit your CV in English and specify your English proficiency level.
About the Role
toloka-ai, in partnership with Mindrift, connects skilled specialists with project-based AI work for leading technology companies. This freelance position focuses on strengthening AI systems through detailed testing, evaluation, and refinement. Participation is strictly project-based and does not represent permanent employment.
What You Will Do
- Design original computational physics problems that mirror real research workflows.
- Develop problems requiring Python programming for solutions, using libraries such as Numpy, SciPy, and Sympy.
- Ensure problem sets are computationally demanding and not easily solvable by hand within days or weeks.
- Create scenarios involving complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics.
- Base challenges on authentic research issues or practical applications in physics.
- Validate problem solutions in Python with standard physics simulation tools.
- Document problem statements clearly and provide accurate, verified answers.
What We Look For
- Degree in Physics (theoretical, experimental, or computational) or a related discipline.
- Strong Python skills for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or other programming languages is also valued.
- At least 2 years of professional experience, which can include research, applied, or teaching roles.
- Background in numerical simulation methods.
- Ability to design problems that reflect genuine research workflows in physics.
- Creative approach to problem design across multiple physics domains.
- Understanding of physics modeling and approximation techniques.
- Excellent written English (C1 level or higher).
How Projects Work
The engagement process follows these steps:
- Apply
- Pass qualification(s)
- Join a project
- Complete assigned tasks
- Receive compensation
Time Commitment
Tasks typically require 10–20 hours per week during active project phases. Actual hours may vary depending on project needs and are not guaranteed.
Compensation
Earn up to $29 per hour, depending on expertise and task completion rate. Compensation varies by project scope, complexity, and required skills. Other projects on the platform may offer different earning structures.

