About the job
Please submit your CV in English, clearly indicating your level of English proficiency.
At Mindrift, we connect talented specialists with project-based AI opportunities for top-tier tech companies, focusing on the assessment, evaluation, and enhancement of AI systems. Note: Participation is project-based and does not constitute permanent employment.
Project Overview
Each project presents unique challenges, and contributors may be tasked with:
- Creating rigorous mathematics problems that reflect professional standards;
- Assessing AI solutions for accuracy, underlying assumptions, and limitations;
- Validating computations or simulations with Python (using libraries such as NumPy, Pandas, SciPy);
- Enhancing AI reasoning to conform with industry-standard logic;
- Applying structured evaluation criteria to complex, multi-step problems.
Candidate Profile
This opportunity is ideal for mathematicians with Python expertise who are open to engaging in part-time, non-permanent projects. The ideal candidates will possess:
- A degree in Mathematics or a related field (e.g., Algebra, Calculus, Number Theory);
- Over 3 years of professional experience in mathematics;
- Exceptional written English skills (C1/C2 level);
- Strong proficiency in Python for numerical validation;
- A reliable internet connection.
Additional professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be considered advantageous.
Application Process
Apply → Complete qualification(s) → Join a project → Fulfill tasks → Receive payment.
Project Commitment
During active phases, tasks are estimated to require approximately 10–20 hours per week, based on project requirements. This estimate is not a guaranteed workload and applies only while the project is active.
Compensation
- Compensated contributions, with rates up to $30/hour*;
- Fixed project rates or individual rates, depending on the project;
- Some projects may include additional incentive payments.
*Note: Rates vary based on expertise, skills assessment, location, project requirements, and other factors. Highly specialized experts may receive higher rates, while lower rates may apply during onboarding or peripheral project phases. Payment specifics will be shared for each project.

