Submission Guidelines

Please submit your CV in English and indicate your level of English proficiency.

Opportunity Overview

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
Participation is project-based, not permanent employment.

What This Opportunity Involves

Each project involves unique tasks, including:

• Designing rigorous mathematics problems reflecting professional practice.
• Evaluating AI solutions for correctness, assumptions, and constraints.
• Validating calculations or simulations using Python (NumPy, Pandas, SciPy).
• Improving AI reasoning to align with industry-standard logic.
• Applying structured scoring criteria to multi-step problems.

What We Look For

This opportunity is ideal for mathematicians with Python experience, available for part-time, non-permanent projects. Contributors ideally will have:

• A degree in Mathematics or related fields (e.g., Algebra, Calculus, Number Theory).
• 3+ years of professional mathematics experience.
• Strong written English (C1/C2).
• Strong proficiency in Python for numerical validation.
• A stable internet connection.

Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project Time Expectations

Tasks are estimated to require around 10-20 hours per week during active phases, depending on project requirements. This is an estimate, not a guaranteed workload, applicable only while the project is active.

Payment

• Paid contributions, with rates up to $36/hour*
• Fixed project rate or individual rates, depending on the project.
• Some projects include incentive payments.
• Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to specialized experts, while lower rates may apply during onboarding or non-core project phases.