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 influence how the world's most advanced AI models reason and respond

We're looking for experienced data scientists to join Alignerr's expert network and help train cutting-edge AI systems. You'll stress-test model reasoning, author gold-standard solutions, and provide the kind of rigorous technical feedback that makes AI genuinely smarter. This is meaningful, intellectually engaging work done entirely on your terms, from anywhere in the world.

Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 1040 hours/week

What You'll Do

Design Advanced Challenges Create 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 authoritative reference responsesAudit AI-Generated Code Evaluate model outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practicesSharpen AI Reasoning Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and provide structured feedback that directly improves how AI models think

Who You Are

Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative fieldStrong foundational knowledge across core areas supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLPAble to communicate complex algorithmic and statistical concepts clearly and concisely in writingPrecise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusionsNo prior AI or annotation experience required

Nice to Have

Experience with data annotation, data quality assurance, or evaluation systemsFamiliarity with production-level data science workflows, including MLOps or CI/CD for modelsHands-on experience deploying or monitoring models in real-world environments

Why Join Us

Work directly with industry-leading AI systems and contribute to research that shapes the future of machine intelligenceFully remote and async work on your own schedule, from anywhereFreelance flexibility with the consistency of ongoing, meaningful project workHigh-agency contracting with opportunities for project renewals and expanded engagementBe part of a global expert network working alongside top AI research labs .