About the job
Please submit your CV in English and specify your English proficiency level.
At Mindrift, we specialize in connecting talented individuals with project-based opportunities in the AI sector, partnering with top technology companies to test, evaluate, and refine AI systems. This role involves project-based participation rather than permanent employment.
Details of the Opportunity:
Each project presents unique tasks, and contributors may be expected to:
- Craft original computational statistics problems that replicate authentic mathematical research workflows;
- Design problems that necessitate Python programming for solutions (utilizing libraries such as Numpy, SciPy, Sympy);
- Ensure that problems are computationally demanding and cannot be solved manually within a reasonable timeframe;
- Develop complex problems requiring advanced reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;
- Base problems on genuine research challenges or practical applications in mathematics;
- Validate solutions using Python with recognized mathematical libraries;
- Clearly document problem statements and provide verified correct answers.
Candidate Profile:
This role is ideal for statistics professionals experienced in Python and interested in part-time, non-permanent projects. The ideal candidate will possess:
- A degree in Statistics or a related field;
- Proficiency in Python for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is also acceptable;
- A minimum of 2 years of professional experience: applicable in applied statistics, research, or teaching;
- Exceptional written English skills (C1 or higher);
- Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.
Application Process:
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated
Project Time Expectations:
For this project, tasks are projected to require approximately 10–20 hours per week during active phases, based on specific project demands. This is an estimate and not a guaranteed workload, applicable only while the project remains active.
Compensation:
Contributors can earn up to $11 per hour, contingent upon their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skillsets. Please note that other projects on the platform may offer different earning levels based on their specific needs.

