About the job
We invite you to submit your CV in English, detailing your English proficiency level.
At Mindrift, we connect talented specialists with exciting project-based opportunities in the AI sector, collaborating with leading tech companies to enhance, evaluate, and optimize AI systems. Please note that participation is on a project basis and does not constitute permanent employment.
What This Role Involves:
Contributors will engage in various unique tasks across different projects, including:
- Creating original computational statistics problems that reflect real-world mathematical research processes;
- Developing Python-based solutions for complex problems utilizing libraries such as Numpy, SciPy, and Sympy;
- Designing challenges that are computationally intensive and cannot be solved manually within a reasonable timeframe;
- Formulating questions that involve sophisticated reasoning in fields like number theory, combinatorics, graph theory, and numerical analysis;
- Drawing upon genuine research dilemmas or practical applications relevant to mathematical practices;
- Validating solutions using Python and standard mathematical libraries;
- Clearly documenting problem statements and providing verified, correct solutions.
Qualifications We Seek:
This position is ideal for professionals in statistics with Python expertise who are 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 verification; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or other domain-specific libraries is also acceptable;
- A minimum of 2 years of professional experience in applied statistics, research, or teaching;
- Strong written English skills (C1+ level);
- Professional certifications (e.g., CMME, SAS, CAP) and experience in international or applied projects are advantageous.
Process Overview:
To start, apply → pass qualifications → join a project → complete tasks → receive compensation.
Project Commitment:
During active phases, contributors can expect to dedicate approximately 10–20 hours per week based on project requirements. This is an estimate and not a guaranteed workload.
Compensation:
Contributors have the potential to earn up to $11 per hour, depending on their level of expertise and contribution speed. Compensation varies by project based on its scope, complexity, and required skills. Please be aware that different projects on our platform may offer varying earning rates depending on their specific needs.
