About the job
We invite you to submit your CV in English and indicate your proficiency level in English.
Mindrift bridges the gap between specialists and project-based AI opportunities for top technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This role is project-based and does not entail permanent employment.
Key Responsibilities:
Contributors will engage in a variety of tasks, including:
- Designing innovative computational physics problems that replicate authentic research workflows;
- Creating problems requiring Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensuring problems are computationally intensive and cannot be resolved manually in a reasonable timeframe (days/weeks);
- Developing problems that require intricate reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in genuine research challenges or practical physics applications;
- Verifying solutions using Python with industry-standard physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
Candidate Profile:
The ideal candidate will possess the following qualifications:
- A degree in Physics (Theoretical, Experimental, or Computational) or related disciplines;
- Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is also acceptable;
- A minimum of 2 years of professional experience in applied physics, research, or teaching;
- Experience with numerical simulation methods;
- Capability to design problems that reflect real physics research workflows;
- Creative aptitude in problem design across various physics domains;
- Familiarity with physics modeling and approximation techniques;
- Strong command of written English (C1+ level).
Application Process:
Apply → Pass qualification(s) → Join a project → Complete tasks → Receive compensation.
Project Time Commitment:
Tasks for this project are estimated to require approximately 10–20 hours per week during active phases, based on project demands. This is an estimate and not a guaranteed workload for the duration of the project.
Compensation:
Contributors may earn up to $14 per hour, depending on their expertise and contribution pace. Note that compensation varies across different projects based on their scope, complexity, and required expertise. Other projects on the platform may offer different earning potentials based on their requirements.

