<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <em>Please submit your CV in English and indicate your level of English proficiency.<br/><br/></em>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. <strong>Participation is project-based, not permanent employment.<br/><br/></strong><strong>What This Opportunity Involves<br/><br/></strong>While each project involves unique tasks, contributors may:<br/><br/><ul><li>Design original computational STEM problems that simulate real scientific workflows</li><li>Create problems that require Python programming to solve</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 and creative problem-solving approaches</li><li>Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)</li><li>Document problem statements clearly and provide verified correct answers<br/><br/></li></ul><strong>What We Look For<br/><br/></strong>This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:<br/><br/><ul><li>5+ years of hands-on machine learning experience with proven business impact</li><li>Portfolio of completed projects and publications showcasing real-world problem-solving</li><li>Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)</li><li>Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications</li><li>Expert with SQL and database operations for data manipulation and analysis</li><li>Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)</li><li>Understanding of MLOps practices and model deployment workflows</li><li>Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)</li><li>Strong written English (C1+)<br/><br/></li></ul><strong>How It Works<br/><br/></strong>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br/><br/><strong>Project time expectations <br/><br/></strong>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.<br/><br/><strong>Compensation<br/><br/></strong>On this project, contributors can earn up to <strong>$58 per hour equivalent</strong>, depending on their level and pace of contribution.<br/><br/>Compensation 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. </div>