About the job
We invite you to submit your CV in English and specify your English proficiency level.
Mindrift is at the forefront of connecting skilled professionals with exciting project-based AI opportunities for top-tier tech companies. Our focus is on assessing, testing, and enhancing AI systems. Engagements are project-based and do not constitute permanent employment.
Opportunity Overview:
While every project presents its own distinct challenges, contributors may be tasked with:
- Crafting innovative computational physics problems that emulate genuine physics research workflows;
- Designing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensuring that problems are computationally demanding and cannot be resolved manually within practical timeframes (days/weeks);
- Creating problems that require complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Formulating problems based on real-world research dilemmas or practical physics applications;
- Validating solutions using Python with established physics simulation libraries;
- Clearly documenting problem statements and providing verified correct answers.
Candidate Profile:
This role is ideal for physicists with Python experience who are open to part-time, non-permanent engagements. Preferred candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;
- Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any programming language is acceptable;
- A minimum of 2 years of professional experience in applied research or teaching;
- Experience with numerical simulation techniques;
- The ability to design problems that reflect authentic physics research processes;
- Inventive thinking in crafting problems across various physics domains;
- A solid understanding of physics modeling and approximation methodologies;
- Exceptional written English skills (C1+ level).
Project Workflow:
Application → Qualification process → Project participation → Task completion → Compensation.
Time Commitment:
During active project phases, tasks are anticipated to require approximately 10–20 hours per week, contingent on project specifications. This is an estimate and not a guaranteed workload.
Compensation:
Contributors can earn up to $76 per hour, contingent on their skill level and pace of contribution. Compensation may vary across different projects based on scope, complexity, and required expertise.

