Data Science Expert – AI Content Specialist About The Role What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI models think and reason? We're looking for Data Science Experts to challenge, audit, and improve cutting-edge AI systems — working remotely, on your own schedule, alongside leading AI research labs. This is your opportunity to apply your expertise at the frontier of AI development, where your analytical instincts and technical precision have a measurable, lasting impact.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design Advanced Challenges: Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — problems that push AI models to their limits

Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as authoritative reference answers

Audit AI-Generated Code: Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and correctness of data visualizations and statistical summaries

Refine AI Reasoning: Identify and document logical failures in AI reasoning — such as data leakage, overfitting,



or improper handling of imbalanced datasets — and provide structured feedback to improve model decision-making Who You Are Advanced Degree: Pursuing or completed a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a robust emphasis on data analysis

Domain Expert: Deep foundational knowledge in areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP

Clear Technical Communicator: Able to explain complex algorithmic concepts and statistical results in precise, well-structured written form

Detail-Oriented: High attention to precision when checking code syntax, mathematical notation, and the validity of statistical conclusions

No prior AI experience required — your data science expertise is what matters Nice to Have Experience with data annotation, data quality assurance, or evaluation systems

Proficiency in production-level data science workflows such as MLOps or CI/CD pipelines for models

Familiarity with prompt engineering or AI model evaluation frameworks Why Join Us Work directly with industry-leading large language models at the cutting edge of AI research

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

Freelance autonomy with the depth of meaningful, technically challenging work

High agency over your workload with flexible weekly commitments

Contribute to AI development that shapes how intelligent systems 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 (Brisbane)
🏢 Alignerr
📍 Brisbane