About the job
We invite you to submit your CV in English and specify your English proficiency level.
At Mindrift, we connect talented specialists with exciting project-based AI opportunities from leading technology firms, focusing on the testing, evaluation, and enhancement of AI systems. This is a project-based role and does not constitute permanent employment.
What This Role Entails:
Each project presents unique challenges, and contributors may:
- Design original computational statistics problems that emulate real mathematical research workflows;
- Develop problems necessitating Python programming for resolution (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensure that problems are computationally intensive, requiring significant time to solve (days/weeks);
- Create problems that involve complex reasoning chains in fields such as number theory, combinatorics, graph theory, and numerical analysis;
- Base problems on genuine research challenges or practical applications from the realm of mathematics;
- Verify solutions using Python alongside standard mathematical libraries;
- Clearly document problem statements and provide verified correct answers.
Qualifications We Seek:
This opportunity is ideal for statistics experts with Python experience who are open to part-time, non-permanent projects. Candidates should ideally possess:
- A degree in Statistics or a related field;
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of other programming languages may be considered equivalent;
- At least 2 years of professional experience, which may include applied, research, or teaching roles;
- Strong written English skills (C1+ level);
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or practical projects are considered advantageous.
How to Get Involved:
To participate: Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Project Time Expectations:
During active phases, tasks are anticipated to require around 10–20 hours per week, depending on project demands. This is an estimate and not a guaranteed workload.
Compensation:
Contributors can earn up to $38 per hour, contingent on their contribution level and pace. Compensation varies across projects based on scope, complexity, and expertise required. Please note that other projects on the platform may offer different earning levels based on their specific requirements.

