Computer Science Expert with Python Experience - AI Projects on Mindrift

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

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

While each project involves unique tasks, contributors may: 

• Design rigorous Computer Science problems reflecting professional practice; 
• Evaluate AI solutions for correctness, assumptions, and constraints; 
• Validate calculations or simulations using Python (NumPy, Pandas, SciPy); 
• Improve AI reasoning to align with industry-standard logic; 
• Apply structured scoring criteria to multi-step problems;
• Collaborate with a global community of PhDs to ensure the highest scientific integrity.

What we look for

This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

• Degree in Computer Science or related fields. 
• Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. 
• 2+ years of professional experience: applied, research, or teaching experience is applicable. 
• Strong written English (C1+) .
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

How it works

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

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $80 per hour equivalent, depending on their level and pace of contribution.