About the job
Please submit your CV in English, including your proficiency level.
Mindrift connects talented specialists to project-based AI opportunities with leading technology firms, focusing on the critical tasks of testing, evaluating, and enhancing AI systems. Note that participation is project-based and does not constitute permanent employment.
Key Responsibilities:
Each project presents distinct tasks, where contributors may be required to:
- Create original computational statistics challenges that emulate actual mathematical research workflows.
- Develop problems that necessitate Python programming solutions (utilizing Numpy, SciPy, Sympy).
- Ensure problems are computationally demanding, making manual solutions impractical within reasonable timelines (days/weeks).
- Formulate problems that involve complex reasoning chains in fields such as number theory, combinatorics, graph theory, and numerical analysis.
- Ground problems in real research scenarios or practical applications drawn from mathematical practice.
- Validate solutions using Python with standard mathematical libraries.
- Clearly document problem statements and provide verified correct answers.
Qualifications:
This opportunity suits statistics experts with Python experience who are open to part-time, temporary projects. Ideal candidates will possess:
- A degree in Statistics or related disciplines.
- Proficiency in Python for numerical validation; knowledge of MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or similar programming languages may be considered equivalent.
- At least 2 years of relevant professional experience, which can include applied, research, or teaching roles.
- Strong written English skills (C1+).
- Professional certifications (e.g., CMME, SAS Certifications, CAP) and involvement in international or applied projects are advantageous.
How It Works:
Apply → Pass qualifications → Join a project → Complete assigned tasks → Receive payment.
Project Time Expectations:
During active phases, tasks are expected to require approximately 10–20 hours per week, based on project needs. This is a guideline and not a guaranteed workload.
Compensation:
Contributors can earn up to $16 per hour, depending on experience and contribution pace. Compensation may vary across different projects based on their scope, complexity, and required expertise.

