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About the Role

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

Responsibilities

• 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

Requirements

• Computer Science experts with experience in Python
• Open to part-time, non-permanent projects
• 2+ years of professional experience: applied, research, or teaching
• Strong written English (C1+)
• Professional certifications (e.g., CMME, SAS Certifications, CAP) are an advantage
• Experience in international or applied projects is an advantage

Skills

• Python proficiency for numerical validation
• MATLAB
• R
• C
• SQL
• Numpy
• Pandas
• SciPy
• Domain-specific libraries
• Stata
• Any programming language knowledge

Work Type

• Project-based
• Part-time
• Non-permanent employment
• Estimated 10-20 hours per week during active phases

Experience Level

• 2+ years of professional experience

Education Level

• Degree in Computer Science or related fields

Salary/Compensations

• Up to $80 per hour equivalent

About the Company

• Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.