About the job
We invite you to submit your CV in English and specify your level of English proficiency.
Mindrift is a dynamic platform that connects skilled professionals with project-based AI opportunities from top technology firms. Our focus is on enhancing, testing, and evaluating AI systems through specialized tasks. Note that this role is project-based rather than a permanent position.
What You Will Be Doing:
- Crafting original computational physics problems that replicate authentic physics research workflows;
- Developing challenges that necessitate Python programming for solutions (using libraries such as Numpy, SciPy, Sympy);
- Creating computationally intensive problems that require extensive timeframes for resolution (days to weeks);
- Formulating problems that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in real-world research challenges or practical physics applications;
- Validating solutions using Python with standard physics simulation libraries;
- Providing clear documentation for problem statements along with verified correct answers.
What We Are Looking For:
This role is ideal for physics graduates with Python experience who are open to part-time, non-permanent projects. The ideal candidate will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
- Proficiency in Python for numerical validation, with alternative proficiency in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages being acceptable;
- At least 2 years of professional experience, encompassing applied, research, or teaching roles;
- Familiarity with numerical simulation methods;
- The ability to design problems that closely reflect real physics research processes;
- Innovative problem design skills across various physics disciplines;
- A strong command of written English (C1+ level).
How the Process Works:
Apply → Pass qualifications → Join a project → Complete tasks → Get paid
Project Commitment:
During active phases, tasks are estimated to require approximately 10–20 hours per week, contingent on project needs. This is an approximation and not a guaranteed workload.
Compensation:
Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills. Please note that different projects on our platform may offer varying compensation levels based on their specific requirements.
