Data Science Expert - AI Content Specialist

Data Science Expert – AI Content Specialist 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 models think and reason? We're looking for experienced data scientists to join Alignerr and work alongside leading AI research labs — designing hard problems, authoring expert solutions, and stress-testing AI reasoning at a technical level most roles never reach. This is a fully remote, flexible contract role built for senior practitioners 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 data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more • Author Ground-Truth Solutions — Develop step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative "golden responses" • Audit AI-Generated Code — Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practice adherence • Sharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves model behavior • Work Independently — Complete task-based assignments asynchronously on a schedule that works for you 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 knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP • Able to communicate complex algorithmic and statistical concepts clearly in writing • Precise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusions • No prior AI industry experience required — your domain expertise is what matters Nice to Have • Experience with data annotation, data quality workflows, or evaluation systems • Familiarity with production-level data science practices such as MLOps or CI/CD for models • Background in academic research, technical writing, or peer review Why Join Us • Work directly with industry-leading large language models on technically challenging problems • Fully remote and flexible — work when and where it suits you • Freelance autonomy with the structure of meaningful, task-based assignments • High-agency contractor environment with international reach • Potential for ongoing work and contract extension as new AI projects launch