Data Science Expert - AI Content Specialist

**Data Science Expert – AI Content Specialist** **About The Role** What if your deep knowledge of machine learning, statistics, and data engineering could directly shape the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve cutting-edge AI models — uncovering their blind spots and helping them reason more accurately across complex technical domains. This is a fully remote, flexible contract role built for experienced data scientists who want meaningful, intellectually stimulating work on their own schedule. * Organization: Alignerr * Type: Hourly Contract * Location: Remote * Commitment: 10–40 hours/week **What You'll Do** * Design Complex Challenges — Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more to probe the limits of AI reasoning * Author Ground-Truth Solutions — Develop rigorous, step-by-step technical responses including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for model evaluation * Audit AI-Generated Code — Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing for correctness, efficiency, and best practices * Refine AI Reasoning — Identify and document logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, then provide structured feedback to improve how models think and respond **Who You Are** * Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field * Strong foundational expertise in areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP * Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing * Exceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss * No prior AI or annotation experience required **Nice to Have** * Experience with data annotation, data quality assurance, or model evaluation workflows * Familiarity with production-level data science practices such as MLOps or CI/CD pipelines for models **Why Join Us** * Work directly with industry-leading AI models and contribute to their development at the frontier of AI research * Fully remote and asynchronous — work on your own schedule, from anywhere in the world * Freelance autonomy with high-impact, intellectually engaging work * Ongoing contract renewal opportunities as new projects launch * Be part of a global network of domain experts shaping the future of AI