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 next generation of AI? We're looking for Data Science Experts to stress-test, evaluate, and refine advanced AI models — exposing weaknesses, authoring gold-standard solutions, and helping these systems reason better about the hardest problems in data science. This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students 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 Advanced Challenges : Create rigorous, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more Author Ground-Truth Solutions : Develop step-by-step, expert-level solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as definitive reference answers for AI training Audit AI-Generated Code : Critically evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing technical accuracy, efficiency, and correctness Refine AI Reasoning : Identify flaws in model logic — such as data leakage, overfitting, or mishandled class imbalance — and provide structured feedback that improves how the AI thinks and responds Who You Are Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field Deeply fluent in core data science concepts: supervised and unsupervised learning, deep learning, statistical inference, and big data technologies (e.g., Spark, Hadoop) Able to communicate complex algorithmic and statistical concepts clearly in writing Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical co