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.

Desired Candidate Profile

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.