About the job
We invite you to submit your CV in English, along with an indication of your English proficiency level.
Mindrift connects talented professionals with project-based AI opportunities for prominent tech companies, focusing on testing, evaluating, and enhancing AI systems. Please note that participation is on a project basis and does not constitute permanent employment.
Opportunity Overview
While each project presents distinct tasks, contributors may:
- Design innovative computational statistics problems that reflect authentic mathematical research workflows;
- Create challenges that necessitate Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);
- Ensure that problems are computationally intensive, requiring extensive timeframes (days to weeks) to solve manually;
- Develop problems that necessitate complex reasoning across areas such as number theory, combinatorics, graph theory, and numerical analysis;
- Base problems on real-world research challenges or practical applications within the field of mathematics;
- Validate solutions through Python using standard mathematical libraries;
- Clearly document problem statements and provide verified correct answers.
Candidate Profile
This opportunity is ideal for specialists in statistics with Python experience, seeking part-time, non-permanent projects. Preferred candidates will possess:
- A degree in Statistics or related fields;
- Proficiency in Python for numerical validation, with familiarity in MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or equivalent programming languages;
- A minimum of 2 years of professional experience in applied, research, or teaching roles;
- Strong written English skills (C1+ level);
- Professional certifications (such as CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.
Project Workflow
Apply → Pass qualification(s) → Join a project → Complete tasks → Get compensated
Project Time Expectations
For this project, tasks are anticipated to require approximately 10–20 hours per week during active phases, contingent on project needs. This is an estimate and not a guaranteed workload, applicable solely while the project is active.
Compensation
Contributors may earn up to $16 per hour, contingent upon their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Please be aware that other projects on the platform may offer different earning potentials based on their specific requirements.
