Data Scientist (Masters) — AI Data TrainerAbout The RoleWhat if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and respond?
We're looking for Masters-level data scientists to challenge, audit, and improve cutting-edge AI models — exposing their blind spots and helping build more intelligent, reliable systems.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: ***** hours/weekWhat You'll DoDesign Advanced Challenges — Create complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — tasks that genuinely stress-test AI reasoningAuthor Ground-Truth Solutions — Produce rigorous, 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 AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing technical accuracy, efficiency, and correctnessRefine AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, mishandled class imbalance — and deliver structured feedback that improves how models think through data problemsDocument Failure Modes — Systematically record how and why advanced language models fail on technical tasks,



contributing directly to model hardening effortsWho You ArePursuing or holding a Masters or PhD in Data Science, Statistics, Computer Science, or a heavily quantitative fieldStrong foundational knowledge across core areas — supervised and 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 reasoning that others missSelf-motivated and reliable when working independently and asynchronouslyNo prior AI or data annotation experience requiredNice to HavePrior experience with data annotation, data quality workflows, or model evaluation systemsProficiency in production-level data science environments — MLOps, CI/CD for models, or similarFamiliarity with prompt engineering or working alongside large language modelsBroad cross-domain knowledge spanning multiple subfields of data science or statisticsWhy Join UsWork directly with industry-leading AI research labs on genuinely frontier problemsFully remote and flexible — work on your own schedule, from anywhere in the worldFreelance autonomy with the structure of meaningful, technically challenging workMake a direct, traceable impact on how next-generation AI models reason through complex data science problemsPotential for ongoing contract renewals as recent projects launch
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📌 Data Scientist (Masters) (Adelaide)
🏢 Alignerr
📍 Adelaide