Statistics & Python Expert - Freelance AI Trainer

ppPlease submit your CV in English and indicate your level of English proficiency. /ppMindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. /ppParticipation is project-based, not permanent employment. /ph3What This Opportunity Involves /h3pWhile each project involves unique tasks, contributors may: /pulliDesign original computational statistics problems that simulate real mathematical research workflows; /liliCreate problems requiring Python programming to solve (using Numpy, SciPy, Sympy); /liliEnsure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); /liliDevelop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; /liliBase problems on real research challenges or practical applications from mathematical practice; /liliVerify solutions using Python with standard mathematical libraries; /liliDocument problem statements clearly and provide verified correct answers; /li /ulh3What We Look For /h3pThis opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: /pulliDegree in Statistics or related fields; /liliPython proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; /lili2+ years of professional experience: applied, research, or teaching experience is applicable; /liliStrong written English (C1+); /liliProfessional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage; /li /ulh3How It Works /h3pApply - Pass qualification(s) - Join a project - Complete tasks - Get paid /ph3Project time expectations /h3pFor 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. /ph3Compensation /h3pOn this project, contributors can earn up to b$34 per hour equivalent /b, depending on their level and pace of contribution. /ppCompensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. /p /p #J-18808-Ljbffr