About the job
Please submit your CV in English and specify your English proficiency level.
Mindrift is a dynamic platform that connects talented specialists with project-based AI opportunities at leading technology companies. Our focus is on testing, evaluating, and enhancing AI systems. Note: Participation is strictly project-based and does not constitute permanent employment.
What You Will Do
While each project presents unique challenges, your contributions may include:
- Crafting statistical problems that mirror real-world professional practices;
- Assessing AI solutions for accuracy, assumptions, and limitations;
- Validating calculations or simulations using Python libraries (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn);
- Enhancing AI reasoning to conform with industry-standard logic;
- Implementing structured scoring criteria for complex, multi-step problems.
What We're Looking For
This role is ideal for statisticians proficient in Python who are open to part-time, project-based work. The ideal candidate will possess:
- A degree in Statistics or a related field, such as Probability Theory, Mathematical Statistics, or Applied Statistics;
- A minimum of 3 years of professional experience in mathematics;
- Strong written English skills (C1/C2 level);
- Proficiency in Python for numerical validation;
- A reliable internet connection.
Professional certifications (e.g., PStat, CAP, SAS Certifications) and experience in international or applied projects are advantageous.
How It Works
Apply → Complete qualifications → Join a project → Execute tasks → Get paid.
Project Time Expectations
For this project, tasks are estimated to require approximately 10–20 hours per week during active phases, based on project needs. This is an estimate and does not guarantee workload.
Compensation
- Paid contributions with rates up to $73/hour*
- Fixed project rates or individual rates depending on the project
- Some projects may include incentive payments
*Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are project-specific.