Data Scientist (Masters)

Dallas

**Data Scientist (Masters) --- AI Data Trainer** **About The Role** What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve? We're looking for data scientists with advanced degrees to work alongside leading AI research labs --- designing expert-level challenges, authoring rigorous solutions, and auditing AI-generated code to make models smarter, more accurate, and more reliable. This is a fully remote, flexible contract role. No prior AI industry experience required --- just serious domain expertise and a sharp analytical mind. * Organization: Alignerr * Type: Hourly Contract * Location: Remote * Commitment: 10--40 hours/week **What You'll Do** * Design Advanced Challenges --- Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more * Author Ground-Truth Solutions --- Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for AI training * Audit AI-Generated Code --- Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and correctness * Refine AI Reasoning --- Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets and provide structured feedback to sharpen model thinking * Document Failure Modes --- Probe advanced language models on topics like neural network architectures and data engineering pipelines, capturing and reporting every reasoning gap **Who You Are** * Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focus * Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP * Able to communicate highly technical algorithmic and statistical concepts clearly and concisely in writing * Exceptionally detail-oriented when reviewing code syntax, mathematical notation, and the validity of statistical conclusions * Self-directed and comfortable working independently on an async schedule * No prior AI or data annotation experience required **Nice to Have** * Experience with data annotation, data quality assurance, or AI evaluation systems * Proficiency in production-level data science workflows --- MLOps, CI/CD for models, or similar * Familiarity with model evaluation frameworks or benchmarking methodologies **Why Join Us** * Work directly on cutting-edge AI projects alongside world-leading research labs * Fully remote and async --- work when and where it suits you * Freelance autonomy with meaningful, intellectually stimulating work * Direct, hands-on engagement with industry-leading large language models * Potential for ongoing contract renewals as new projects launch