About the job
Kindly submit your resume in English and specify your English proficiency level.
Mindrift bridges experts with project-based artificial intelligence opportunities for top technology firms, concentrating on the assessment, validation, and enhancement of AI systems. This is a project-based role, not a permanent position.
Key Responsibilities
Each project presents distinct challenges, and contributors may be involved in:
- Creating complex mathematical problems that reflect real-world applications;
- Assessing AI solutions for accuracy, underlying assumptions, and limitations;
- Validating computations or simulations utilizing Python libraries such as NumPy, Pandas, and SciPy;
- Enhancing AI reasoning to conform to industry-standard logical frameworks;
- Implementing structured scoring metrics for multi-step mathematical problems.
Qualifications
This role is ideally suited for mathematicians experienced in Python, looking for part-time, non-permanent engagements. Preferred candidates will possess:
- A degree in Mathematics or related disciplines, including Algebra, Calculus, or Number Theory;
- A minimum of 3 years of professional experience in mathematics;
- Excellent written English skills (C1/C2 level);
- Proficiency in Python for numerical validation;
- A reliable internet connection.
Having professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects will be an asset.
Process Overview
Application → Qualification Steps → Project Engagement → Task Completion → Compensation
Expected Commitment
For this position, tasks are anticipated to require approximately 10–20 hours weekly during active project phases, depending on specific project demands. This is an estimate and not a guaranteed workload.
Compensation Details
Contributors may earn up to $14 per hour based on their skill level and contribution pace. Compensation varies across projects based on their scope, complexity, and required expertise. Please note that other projects may have different earning potentials.

