Statistics&Python Expert - Freelance AI Trainer

<div><p>Please submit your CV in English and indicate your level of English proficiency.</p><p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.</p><h3>What this opportunity involves</h3><ul><li>Design original computational statistics problems that simulate real mathematical research workflows.</li><li>Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy).</li><li>Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).</li><li>Develop problems requiring non‑trivial reasoning chains in areas such as number theory, combinatorics, graph theory, and numerical analysis.</li><li>Base problems on real research challenges or practical applications from mathematical practice.</li><li>Verify solutions using Python with standard mathematical libraries.</li><li>Document problem statements clearly and provide verified correct answers.</li></ul><h3>What we look for</h3><p>This opportunity is a good fit for statistics specialists with an experience in python open to part‑time, non‑permanent projects.</p><p>Ideally, contributors will have:</p><ul><li>Degree in Statistics or related fields.</li><li>Python proficiency for numerical validation.</li><li>MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain‑specific libraries, Stata or knowledge of any programming language can be equivalent.</li><li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li><li>Strong written English (C1+).</li><li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li></ul><h3>How it works</h3><ol><li>Apply</li><li>Pass qualification(s)</li><li>Join a project</li><li>Complete tasks</li><li>Get paid</li></ol><h3>Project time expectations</h3><p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.</p><p>This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><h3>Compensation</h3><p>On this project, contributors can earn up to $39 per hour equivalent, depending on their level and pace of contribution.</p><p>Compensation varies across projects depending on scope, complexity, and required expertise.</p><p>Please note that other projects on the platform may offer different earning levels based on their requirements.</p></div>#J-18808-Ljbffr