Data Scientist (Masters)

Sheffield

**Data Scientist (Masters) --- AI Data Trainer** **About The Role** What if your expertise in 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 Masters-level data scientists to challenge, evaluate, and refine cutting-edge AI models --- stress-testing their reasoning on the hardest problems your field has to offer. This is a fully remote, flexible contract role. No prior AI industry experience needed --- just deep domain knowledge and a sharp eye for technical accuracy. * Organization: Alignerr * Type: Hourly Contract * Location: Remote * Commitment: 10--40 hours/week **What You'll Do** * Design Advanced Challenges --- Create rigorous data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more * Author Ground-Truth Solutions --- Write precise, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers * Audit AI-Generated Code --- Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices * Identify Reasoning Failures --- Spot and document logical flaws in AI reasoning --- data leakage, overfitting, improper handling of imbalanced datasets --- and provide structured feedback to improve model behavior * Work Independently --- Complete task-based assignments asynchronously, fully on your own schedule **Who You Are** * Currently pursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis * Solid foundational knowledge across core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP * Able to communicate complex algorithmic concepts and statistical findings clearly and concisely in writing * Precise and detail-oriented --- you notice when code logic, mathematical notation, or statistical conclusions don't hold up * No prior AI or data annotation experience required **Nice to Have** * Experience with data annotation, data quality assurance, or evaluation systems * Familiarity with production-level data science workflows --- MLOps, CI/CD for models, or model monitoring * Background in academic research, technical writing, or peer review * Hands-on experience with experiment tracking tools like MLflow or Weights \& Biases **Why Join Us** * Work directly with industry-leading AI research labs on genuinely cutting-edge models * Fully remote and flexible --- work when and where it suits you * Freelance autonomy with the structure of meaningful, high-impact technical work * Engage deeply with topics at the frontier of machine learning and AI development * Potential for ongoing work and contract extension as new projects launch