Data Scientist (Masters) — AI Data TrainerWhat if your expertise in machine learning, statistical modeling, and data engineering could directly shape how the world's most advanced AI systems think and reason?
We're looking for data scientists with advanced degrees to help train and evaluate cutting‐edge AI models — stress‐testing their reasoning, authoring gold‐standard solutions, and catching the subtle flaws that separate good AI from great AI.
This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students who want to do meaningful, intellectually stimulating work on their own schedule.About The RoleOrganization: AlignerrType: Hourly ContractLocation: RemoteCommitment: ***** hours/weekWhat You'll DoDesign Advanced Challenges — Create complex, domain‐specific data science problems spanning hyperparameter optimization, Bayesian inference, cross‐validation strategies, dimensionality reduction, and moreAuthor Ground‐Truth Solutions — Write rigorous, step‐by‐step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the benchmark AI models are trained againstAudit AI‐Generated Code — Evaluate AI outputs using libraries like Scikit‐Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundnessIdentify Reasoning Failures — Spot and document logical errors in AI reasoning — data leakage, overfitting,



improper handling of imbalanced datasets — and provide structured feedback that sharpens model thinkingImprove Model Reasoning — Document failure modes and edge cases so AI systems can be hardened against real‐world data science pitfallsWho You ArePursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong emphasis on data analysisSolid foundational knowledge across core areas — supervised/unsupervised learning, deep learning, statistical inference, or big data technologies like Spark and HadoopAble to communicate complex algorithmic and statistical concepts clearly and precisely in writingMeticulous about code syntax, mathematical notation, and the validity of statistical conclusionsSelf‐directed and comfortable working independently on technical tasksNo prior AI training experience requiredNice to HaveExperience with data annotation, data quality evaluation, or AI evaluation workflowsFamiliarity with production‐level data science practices — MLOps, CI/CD for models, or model deployment pipelinesBackground in NLP, computer vision, or other applied ML domainsWhy Join UsWork directly on projects with industry‐leading AI research labs and LLMsFully remote and asynchronous — work when and where it suits youFlexible hours and high contractor autonomy — you set the paceIntellectually engaging work that keeps your technical skills sharpPotential for ongoing contracts and project renewals as current AI initiatives launch
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📌 Data Scientist (Masters) (Newcastle)
🏢 Alignerr
📍 Newcastle