About the job
We invite you to submit your CV in English, detailing your proficiency in the language.
At Mindrift, we bridge the gap between talented specialists and innovative AI projects for top-tier tech companies. Our focus lies in testing, evaluating, and enhancing AI systems. This is a project-based opportunity and not a permanent position.
What You Will Do:
Each project presents unique challenges, allowing contributors to:
- Craft and solve complex statistical problems that reflect real-world applications.
- Assess AI solutions for accuracy, underlying assumptions, and limitations.
- Utilize Python libraries (NumPy, Pandas, SciPy, Statsmodels, Scikit-learn) to verify calculations and simulations.
- Enhance AI reasoning capabilities to ensure alignment with industry-standard logic.
- Implement structured evaluation criteria for multi-step analytical problems.
What We Are Looking For:
This role is ideal for statisticians experienced in Python, seeking part-time, project-based work. The ideal candidate will possess:
- A degree in Statistics or a related field (e.g., Probability Theory, Mathematical Statistics, Applied Statistics).
- Over 3 years of professional experience in mathematics.
- Excellent command of written English (C1/C2).
- Strong proficiency in Python for numerical validation tasks.
- A reliable internet connection.
Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are advantageous.
How the Process Works:
Apply → Successfully complete qualifications → Join a project → Execute tasks → Receive payment.
Project Time Commitment:
For this project, contributors can expect to dedicate approximately 10–20 hours per week during active phases, contingent upon project demands. This estimate is not a guaranteed workload.
Compensation:
Contributors may earn up to $50 per hour, based on their expertise and contribution pace. Compensation varies by project, depending on scope, complexity, and required skills. Note that other projects may offer different earning rates based on specific requirements.

