Data Scientist (Masters)

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 powerful AI systems think and reason? We're looking for advanced data scientists to work with Alignerr — partnering with leading AI research labs to train and harden cutting-edge language models. You'll challenge AI on the hardest problems in your field, expose its blind spots, and help build models that reason with genuine technical rigor. This is a fully remote, flexible contract role built for people who love going deep on complex problems — and getting paid well to do it. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/week What You'll Do Design Advanced Challenges — Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and moreAuthor Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the definitive benchmark for AI responsesAudit AI-Generated Code — Evaluate outputs from models using Scikit-Learn, PyTorch, TensorFlow, and similar libraries for correctness, efficiency, and technical soundnessSharpen AI Reasoning — Identify logical failures in AI thinking — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that improves how models reason through problemsDocument Failure Modes — Systematically record how and where AI models break down on advanced topics, contributing directly to model improvement cycles Who You Are Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong data analysis focusDeep foundational knowledge in one or more of: supervised/unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLPAble to communicate complex algorithmic concepts and statistical results clearly and precisely in writingExceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others missComfortable working independently and asynchronously without hand-holdingNo prior AI or data annotation experience required Nice to Have Experience with data annotation, data quality evaluation, or model evaluation systemsFamiliarity with production-level data science workflows — MLOps, CI/CD pipelines for modelsBackground in academic research, technical writing, or peer review Why Join Us Work directly with cutting-edge large language models used by leading AI research labsFully remote and asynchronous — work on your schedule, from anywhereHigh agency contractor model: you choose your hours and your workloadMeaningful, intellectually stimulating work that pushes the boundaries of your expertisePotential for ongoing work and contract renewal as new projects launch