Data Scientist (Masters)

Alignerr Corp.; Wollongong City Council; Remote; AUD 34,000 - 83,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract role

Job summary

Alignerr Corp. is seeking a Data Scientist (Masters) to act as an AI Data Trainer. This fully remote hourly contract role focuses on designing advanced data science problems and auditing AI model outputs.

The ideal candidate holds a Master’s or PhD in a quantitative field with strong skills in ML, statistics, Python/R, SQL, and big data tools. Flexibility and attention to detail are essential for this role.

Qualifications

• Pursuing or holding a Master's or PhD in a quantitative field.
• Strong foundation in supervised and unsupervised learning, deep learning, big data tech or NLP.
• Ability to communicate complex ideas clearly in writing.

Responsibilities

• Design advanced challenges spanning hyperparameter optimization, Bayesian inference, and dimensionality reduction.
• Author ground-truth solutions with Python/R scripts, SQL queries and mathematical derivations.
• Audit AI-generated code across libraries for correctness and efficiency.
• Provide actionable feedback to improve AI model reasoning.

Skills

Machine learning

Statistical inference

Data engineering

Python

R

SQL

Audit AI outputs

Education

Master's degree or PhD in Data Science/Statistics/CS

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

SQL

Job description

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 models think and reason? We're looking for data scientists with advanced degrees to challenge, audit, and improve cutting-edge AI systems — pushing them to their limits and documenting exactly where they fail.

This is a fully remote, flexible contract role. No prior AI industry experience required — just deep, battle-tested knowledge of data science and a sharp eye for technical accuracy.

• 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
• Author Ground-Truth Solutions — Build rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the gold standard for AI evaluation
• Audit AI-Generated Code — Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness
• Sharpen AI Reasoning — Identify logical failures in AI outputs — data leakage, overfitting, improper handling of imbalanced datasets — and provide structured, actionable feedback to improve how models reason through problems

Who You Are

• Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
• Strong foundational knowledge across core areas — supervised and unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
• Naturally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or AI evaluation systems
• Familiarity with production-level data science workflows — MLOps, CI/CD for models, or similar
• Exposure to model interpretability, fairness, or robustness testing

Why Join Us

• Work directly with industry-leading AI research labs on cutting-edge language model development
• Fully remote and async — work when and where it suits you, on your own terms
• Freelance autonomy with meaningful, intellectually stimulating work
• High-agency contractor environment with international reach
• Ongoing project opportunities and contract renewals as new initiatives launch