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 how the next generation of AI thinks and reasons? We're looking for Data Science Experts to help train and refine cutting-edge AI models — working alongside world-leading AI research labs from wherever you are in the world. This is a fully remote, flexible contract role designed for experienced data scientists, ML engineers, and quantitative researchers who want to do 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 — Develop complex, expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more • Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the gold standard for model training • Audit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices • Refine AI Reasoning — Identify logical failures in AI thinking — such as data leakage, overfitting, or mishandled class imbalance — and deliver structured feedback that improves model performance • Stress-Test Model Limits — Push AI systems to their boundaries across machine learning theory, statistical inference, neural network architectures, and data engineering pipelines Who You Are • Hold or are pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field • Strong foundational expertise in 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 • Meticulous attention to detail — from code syntax to mathematical notation to the validity of statistical conclusions • Self-directed and comfortable working independently on technical tasks • No prior AI or annotation experience required Nice to Have • Experience with data annotation, data quality, or AI evaluation workflows • Familiarity with production data science practices such as MLOps or CI/CD pipelines for models • Prior work in academic research, technical writing, or quantitative analysis Why Join Us • Work directly with industry-leading large language models and cutting-edge AI research • Fully remote and async — work on your own schedule, from anywhere • Freelance autonomy with consistent, meaningful technical work • Engage with intellectually challenging problems that have a real impact on the future of AI • Potential for ongoing contract renewals as new projects launch