About the job
To apply, please submit your CV in English and specify your English proficiency level.
Mindrift connects talented specialists with project-based AI opportunities at leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role and not a permanent position.
Opportunity Overview:
While each project presents unique challenges, contributors may be tasked with:
- Creating original computational physics problems that reflect genuine physics research workflows;
- Developing problems that necessitate Python programming for solutions (utilizing Numpy, SciPy, Sympy);
- Ensuring tasks are computationally intensive and require significant time to solve (days/weeks);
- Designing complex problems involving reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in real research challenges or practical applications from the field of physics;
- Verifying solutions using Python alongside standard physics simulation libraries;
- Clearly documenting problem statements and providing validated answers.
Ideal Candidate Profile:
This position is suited for physicists experienced in Python who are open to part-time, non-permanent projects. Ideally, candidates will possess:
- 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 other domain-specific libraries is also acceptable;
- At least 2 years of professional experience, which can include applied, research, or teaching roles;
- Experience with numerical simulation techniques;
- The capability to design problems that accurately represent real physics research workflows;
- Creative problem-solving skills across various physics domains;
- A solid understanding of physics modeling and approximation techniques;
- Strong written English skills (C1+ level).
Application Process:
Submit your application → Pass the required qualifications → Join a project → Complete assigned tasks → Receive compensation.
Project Commitment:
During active project phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and not a guaranteed workload.
Compensation:
Contributors can earn up to $76 per hour, varying based on their contribution level and pace. Compensation can differ across projects depending on scope, complexity, and required expertise. Note that other projects may offer different earning potentials based on their specific requirements.
