Data Science Expert – AI Content Specialist About The Role What if your data science expertise could directly shape how the world's most advanced AI models think, reason, and solve problems? We're looking for experienced data scientists to work alongside leading AI research teams — designing complex challenges, authoring expert solutions, and auditing AI-generated work to push the boundaries of what AI can do. This is a fully remote, flexible contract role built for serious data science practitioners who want meaningful, intellectually stimulating work on their own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 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 more

Author Ground-Truth Solutions — Develop step-by-step expert solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI responses

Audit AI-Generated Code — Evaluate code written using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and best practices

Refine AI Reasoning — Identify flaws in AI logic — such as data leakage, overfitting, or mishandled class imbalance — and provide structured feedback that improves model reasoning at a fundamental level





Document Failure Modes — Surface and record how AI models break down on complex technical topics so research teams can harden model performance Who You Are Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field

Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP

Able to communicate complex algorithmic concepts and statistical results clearly and concisely in writing

Highly accurate — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss

Self-motivated and reliable when working independently on task-based assignments

No prior AI or annotation experience required Nice to Have Experience with data annotation, data quality assurance, or evaluation systems

Familiarity with production-level data science workflows — MLOps, CI/CD pipelines for models, or model monitoring

Prior work auditing or benchmarking machine learning systems Why Join Us Work directly with industry-leading AI research labs on cutting-edge model development

Fully remote and asynchronous — work when and where it suits you

Freelance autonomy with consistent, intellectually rewarding task-based work

Contribute to AI that will influence how advanced models reason about data science for years to come

Potential for ongoing work and contract extension as new projects launch

📌 Data Science Expert - AI Content Specialist (Australia)
🏢 Alignerr
📍 Australia