Mindrift
AI
ComputerScienceExpertwithPythonExperience-AIProjects
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, Computer Science, AI. Design rigorous Computer Science problems reflecting professional. Evaluate AI solutions for correctness, assumptions, and”
What You'll Achieve.
testing, evaluating, and improving AI systems
Industry & Context.
Design rigorous Computer Science problems; Evaluate AI solutions for correctness, assumptions, and
What They're Looking For.
Must Have
Degree in Computer Science or related fields, Python proficiency for numerical validation, 2+ years of professional experience: applied, research, or teaching experience is applicable, written English (C1+)
Nice to Have
MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent, Professional certifications (e. g. , CMME, SAS Certifications, CAP), experience in international or applied projects
What You'll Do.
Design rigorous Computer Science problems reflecting professional
Evaluate AI solutions for correctness
Validate calculations or simulations using Python (NumPy
Improve AI reasoning to align with industry-standard
Apply structured scoring criteria to multi-step
How You'll Work.
Team & Collaboration
Collaborate with a global community of PhDs to ensure the highest scientific integrity
Communication Scope
written English (C1+)
Full Job Description
_**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 **$50 per hour equivalent** , depending on their level and pace of contributi
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