Data Science Expert - AI Content Specialist

Data Science Expert — AI Content SpecialistAbout The RoleWhat if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems think and reason?We're looking for experienced data scientists to join Alignerr's network of subject matter experts — working alongside leading AI research labs to stress-test, challenge, and improve cutting-edge language models. Your expertise becomes the benchmark these models are measured against.This is a fully remote, flexible contract role built for professionals who want high-impact work on their own schedule.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign 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 reference solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the gold standard for model evaluationAudit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for technical accuracy, efficiency, and best practicesIdentify Reasoning Failures — Spot logical flaws in AI reasoning — data leakage, overfitting, mishandled class imbalances — and provide structured feedback that directly improves model performanceWork Independently — Complete task-based assignments asynchronously on a schedule that works for youWho You AreFormally trained — Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysisDomain-deep — Strong foundational knowledge across supervised/unsupervised learning, deep learning, NLP, or big data technologies (Spark, Hadoop)Analytically articulate — Able to explain complex algorithmic concepts and statistical results clearly in writingPrecision-oriented — High attention to detail when reviewing code syntax, mathematical notation, and statistical conclusionsNo prior AI experience required — Your subject matter expertise is what mattersNice to HaveExperience with data annotation, data quality, or model evaluation workflowsFamiliarity with production-level data science practices such as MLOps or CI/CD for modelsBackground in technical writing or academic publishingWhy Join UsWork directly with industry-leading AI research labs on projects that push the frontier of what AI can doFully remote and asynchronous — work from anywhere, on your own scheduleFreelance autonomy with consistently meaningful, intellectually stimulating workOngoing contract opportunities as new AI projects launchContribute to AI development that has a real and lasting impact on how these systems reason about data science