Data Scientist (Masters)

Alignerr

Australia · Contract · Not Applicable

Data Scientist (Masters) — AI Data Trainer

About The Role

What if your expertise in machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and solve problems? We're looking for data scientists with graduate-level training to challenge, audit, and refine cutting-edge AI models — exposing their blind spots and pushing them to think more rigorously.

This is a fully remote, flexible contract role. No prior AI industry experience required — just deep, proven expertise in data science and a sharp analytical mind.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Design Advanced Challenges: Craft complex, domain-specific data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more — specifically designed to stress-test AI reasoning
Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as definitive reference answers
Audit AI-Generated Work: Critically evaluate AI-produced code (Scikit-Learn, PyTorch, TensorFlow), data visualizations, and statistical summaries for correctness, efficiency, and best practices
Sharpen AI Reasoning: Identify and document logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured feedback that directly improves model behavior

Who You Are

Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong emphasis on data analysis
Deeply knowledgeable in core data science domains: supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
Highly detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
Self-directed and comfortable working independently on technical tasks
No prior AI training or annotation experience required

Nice to Have

Experience with data annotation, data quality assurance, or model evaluation workflows
Proficiency in production-level data science practices — MLOps, CI/CD for models, or similar
Familiarity with prompt engineering or working directly with large language models

Why Join Us

Work directly with industry-leading AI research teams and large language models at the frontier of AI development
Fully remote and flexible — work when and where it suits you, on your own schedule
Freelance autonomy with meaningful, intellectually stimulating technical work
Make a tangible impact on how AI understands and applies data science at scale
Potential for ongoing contracts and renewals as new projects launch

Key Skills

Ranked by relevance

ai machine learning deep learning tensorflow big data pytorch mlops cicd sql

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