About the job
We invite you to submit your CV in English and specify your English proficiency level.
Mindrift connects talented professionals with project-based opportunities in AI for top tech companies, with a focus on testing, evaluating, and enhancing AI systems. Please note that this is a project-based role rather than a permanent position.
Role Overview:
While each project presents distinct challenges, contributors may be tasked with:
- Crafting original computational physics challenges that emulate genuine physics research workflows;
- Developing problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensuring that the problems are computationally intensive and cannot be manually resolved within a reasonable time frame (days/weeks);
- Creating problems that require complex reasoning in areas such as mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Formulating challenges based on authentic research issues or practical applications in physics;
- Validating solutions using Python with standard physics simulation libraries;
- Providing comprehensive documentation for problem statements along with verified correct answers.
Qualifications:
This opportunity is ideal for optical engineers with Python experience who are open to part-time, non-permanent projects. Preferred qualifications include:
- 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, domain-specific libraries, Stata, or knowledge of any programming language can be regarded as equivalent;
- At least 2 years of professional experience, which may include applied, research, or teaching roles;
- Experience in numerical simulation methods;
- Capability to design problems that reflect real-world physics research workflows;
- Innovative thinking in problem design across various physics sectors;
- Understanding of physics modeling and approximation techniques;
- Strong written English skills (C1+).
Application Process:
Apply → Complete qualifications → Join a project → Execute tasks → Receive payment.
Project Commitment:
For this project, tasks are estimated to demand approximately 10–20 hours per week during active phases, depending on project needs. This is an estimate and not a guaranteed workload, applicable only while the project is in progress.
Compensation:
Contributors can earn up to $29 per hour, based on their contribution level and pace. Compensation may differ across projects according to scope, complexity, and required expertise. Be aware that other projects on the platform may present varying earning levels based on their requirements.
