Job Description

Roles & Responsibilities

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.

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

• 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.

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.

Desired Candidate Profile

em> strong>Please submit your CV in English and indicate your level of English proficiency. /strong> /em>

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.
• 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.