Remote Freelance Data Scientist; Python & SQL - AI Trainer; Aurora

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.

GenAI models are improving rapidly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. As a Data Science AI Trainer on the platform, you will collaborate on these projects.

• Design original computational data science problems that simulate real‑world analytical workflows across industries (telecom, finance, government, e‑commerce, healthcare).
• Create problems that require Python programming to solve with pandas, numpy, scipy, sklearn, stats models, matplotlib, seaborn.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable time frames (days/weeks).
• Develop non‑trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
• Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.
• Base problems on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
• Design end‑to‑end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
• Incorporate big‑data processing scenarios requiring scalable computational approaches.
• Verify solutions using Python with standard data science libraries and statistical methods.
• Document problem statements clearly with realistic business contexts and provide verified correct answers.

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills on your own schedule.

• Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
• At least 5 years of hands‑on data science experience with proven business impact.
• Portfolio of completed projects and publications showcasing real‑world problem‑solving.
• Proficiency in python programming for data science (pandas, numpy, scipy, scikit‑learn, stats models).
• Expertise in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
• Proficiency in SQL and database operations for data manipulation and analysis.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
• Good understanding of MLOps practices and model deployment workflows.
• Knowledge of modern frameworks (Tensor Flow, PyTorch, Lang Chain).
• Advanced (C1) level English proficiency or above.
• Ready to learn new methods, switch between tasks and topics quickly, and handle challenging, complex guidelines.
• Fully remote freelance role: requires laptop, internet connection, available time, and enthusiasm.

• Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs.
• Part‑time, remote, freelance project that fits around primary professional or academic commitments.
• Work on advanced AI projects and gain valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.