About the job
Please submit your CV in English and indicate your level of English proficiency.
At Mindrift, we specialize in connecting experts with flexible, project-based AI opportunities within top-tier tech companies, dedicated to the assessment and enhancement of AI systems. Please note that this is a project-based position and does not entail permanent employment.
Opportunity Overview:
Contributors will engage in a variety of unique tasks tailored to each project, which may include:
- Formulating original computational physics challenges that accurately reflect genuine physics research methodologies;
- Developing problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);
- Creating computationally demanding problems that are impractical to solve manually within a reasonable timeframe;
- Designing problems that require complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in real-world research challenges or practical applications in the field of physics;
- Validating solutions using Python in conjunction with standard physics simulation libraries;
- Documenting problem statements comprehensively and providing verified, accurate answers.
Qualifications:
This role is suited for physicists with Python experience who are open to part-time, non-permanent engagements. Ideal candidates will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or a related field;
- Proficiency in Python for numerical validation. Familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, or other programming languages is also acceptable;
- A minimum of 2 years of professional experience in applied, research, or teaching roles;
- Expertise in numerical simulation techniques;
- Capability to craft problems that reflect real physics research processes;
- Innovative thinking in problem design across various areas of physics;
- Knowledge of physics modeling and approximation techniques;
- Strong written English proficiency (C1+).
Process:
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Project Commitment:
Contributors can expect to dedicate approximately 10–20 hours per week during active project phases, contingent upon project demands. This is an estimation and not a guaranteed workload, applicable only during active phases.
Compensation:
Participants can earn up to $35 per hour, contingent on their contribution level and pace. Compensation levels vary across projects based on their specific requirements.
