About the job
Please submit your CV in English and indicate your level of English proficiency.
Mindrift empowers professionals by connecting them with exciting, project-based AI opportunities at leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This engagement is strictly project-based and does not constitute permanent employment.
Opportunity Overview
Each project presents unique challenges, and contributors may:
- Design innovative computational physics problems that replicate real-world physics research processes;
- Develop problems necessitating Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensure that problems are computationally intensive and cannot be resolved manually within a practical timeframe (days/weeks);
- Create challenges that demand complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Base problems on genuine research obstacles or practical applications within the field of physics;
- Validate solutions using Python alongside standard physics simulation libraries;
- Clearly document problem statements and provide verified correct answers.
Ideal Candidate Profile
This role is ideally suited for optical engineers with Python expertise who are open to part-time, non-permanent projects. The ideal candidate will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages is also acceptable;
- A minimum of 2 years of professional experience, including applied, research, or teaching roles;
- Familiarity with numerical simulation methods;
- The capacity to design problems that align with real physics research workflows;
- Creative problem-solving skills across various areas of physics;
- Knowledge of physics modeling and approximation techniques;
- Strong written English skills (C1+).
How to Get Involved
Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated
Project Commitment
During active phases, tasks are estimated to require approximately 10–20 hours per week, contingent upon project needs. This estimate is not a guaranteed workload and only applies while the project is active.
Compensation Details
Contributors can earn up to $35 per hour, based on their expertise and contribution pace. Compensation may vary across projects depending on their scope, complexity, and required skills. Note that other projects on the platform may offer varying earning potentials based on distinct requirements.
