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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 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 moreAuthor 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 adherenceSharpen AI Reasoning — Identify logical flaws such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves model behaviorWork 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 fieldStrong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLPAble to communicate complex algorithmic and statistical concepts clearly in writingPrecise and detail-oriented when reviewing code syntax, mathematical notation, and statistical conclusionsNo prior AI industry experience required — your domain expertise is what matters

Nice to Have

Experience with data annotation, data quality workflows, or evaluation systemsFamiliarity with production-level data science practices such as MLOps or CI/CD for modelsBackground in academic research, technical writing, or peer review

Why Join Us

Work directly with industry-leading large language models on technically challenging problemsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, task-based assignmentsHigh-agency contractor environment with international reachPotential for ongoing work and contract extension as new AI projects launch