Computer Science Expert with Python Experience - AI Projects on Mindrift

Job Description

Role Overview: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.Key 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 integrityQualifications Required:- 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 advantageAdditional Details:This opportunity is suited for Computer Science experts with experience in Python open to part-time, non-permanent projects. The compensation can vary depending on the projects scope, complexity, and required expertise. The application process involves passing qualifications, joining a project, completing tasks, and getting paid. Tasks for this project are estimated to require around 1020 hours per week during active phases, based on project requirements. Please note that the earning levels can vary across different projects on the platform. Role Overview: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.Key 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 integrityQualifications Required:- 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 advantageAdditional Details:This opportunity is suited for Computer Science experts with experience in Python open to part-time, non-permanent projects. The compensation can vary depending on the projects scope, complexity, and required expertise. The application process involves passing qualifications, joining a project, completing tasks, and getting paid. Tasks for this project are estimated to require around 1020 hours per week during active phases, based on project requirements. Please note that the earning levels can vary across different projects on the platform.

Keyskills :
PythonMATLABSQLNumPySciPyStata