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 statistics problems reflecting professional practice;
Evaluate AI solutions for correctness, assumptions, and constraints;
Validate calculations orsimulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn);
Improve AI reasoning to align with industry-standard logic;
Apply structured scoringcriteria to multi-step problemsWhat We Look For This opportunity is a good fit for statisticians with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:Degree in Statistics or related fields, e.G. Probability Theory, Mathematical Statistics, Applied Statistics, etc.3+ years of professional mathematics experienceStrong written English (C1/C2)Strong Python proficiency for numerical validationStable internet connectionProfessional certifications (e.G., PStat, CAP, SAS Certifications) and experience in international or applied projects are an advantage.How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject 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.Payment Paid contributions, with rates up to $34/hour*Fixed project rate or individual rates, depending on the projectSome projects include incentive paymentsNote: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project
#J-18808-Ljbffr