Data Science Expert - AI Content Specialist

Alignerr Corp.; Adelaide; Remote; AUD 83,000 - 152,000; Part time

Job summary

Alignerr is seeking a Data Science Expert to design advanced AI evaluation challenges and author gold-standard solutions using Python and R. You will audit AI-generated code across major libraries like Scikit-Learn, PyTorch, and TensorFlow, ensuring rigor and efficiency.

Ideal candidates are pursuing or holding a Master's or PhD, with strong ML, NLP, and statistical modeling foundations. This remote, hourly contract role offers flexible scheduling and potential ongoing engagement.

Qualifications

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a heavily quantitative field.
• Strong foundational expertise in core data science domains: supervised and unsupervised learning, deep learning, NLP, big data technologies (Spark, Hadoop), or statistical modeling.
• Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing.
• Meticulous when reviewing code syntax, mathematical notation, and the validity of statistical conclusions.
• Self-directed, reliable, and comfortable working independently on technical tasks.
• No prior AI or annotation experience required.

Responsibilities

• Design Advanced Challenges — Craft complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more.
• Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including Python and R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI evaluation.
• Audit AI-Generated Code — Critically evaluate AI outputs built with Scikit-Learn, PyTorch, TensorFlow, and other major libraries for technical accuracy, efficiency, and best practices.
• Sharpen AI Reasoning — Identify logical flaws in AI-generated analysis — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured, actionable feedback to improve model reasoning.
• Work Independently — Complete task-based assignments asynchronously on a schedule that fits your life.

Skills

Data science expertise

NLP

Machine learning

Statistical modeling

Python

R

SQL

Communication of complex concepts

Independent working

Education

Master's or PhD in Data Science, Statistics, Computer Science

Tools

Scikit-Learn

PyTorch

TensorFlow

Spark

Hadoop

Job description

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 systems think and reason?

We're looking for Data Science Experts to help train cutting-edge AI models by designing rigorous technical challenges, authoring gold-standard solutions, and auditing AI-generated outputs for correctness and efficiency. Your expertise becomes the benchmark that the next generation of AI is measured against.

This is a fully remote, flexible contract role built for working data scientists, researchers, and advanced students who want to do meaningful technical work on their own schedule.

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

What You'll Do

• Design Advanced Challenges — Craft complex, domain-spanning data science problems covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions — Develop rigorous, step-by-step reference solutions including Python and R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for AI evaluation
• Audit AI-Generated Code — Critically evaluate AI outputs built with Scikit-Learn, PyTorch, TensorFlow, and other major libraries for technical accuracy, efficiency, and best practices
• Sharpen AI Reasoning — Identify logical flaws in AI-generated analysis — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured, actionable feedback to improve model reasoning
• Work Independently — Complete task-based assignments asynchronously on a schedule that fits your life

Who You Are

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a heavily quantitative field
• Strong foundational expertise in core data science domains: supervised and unsupervised learning, deep learning, NLP, big data technologies (Spark, Hadoop), or statistical modeling
• Able to communicate complex algorithmic and statistical concepts clearly and precisely in writing
• Meticulous when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
• Self-directed, reliable, and comfortable working independently on technical tasks
• No prior AI or annotation experience required

Nice to Have

• Prior experience with data annotation, data quality, or model evaluation workflows
• Familiarity with production-level data science practices such as MLOps or CI/CD pipelines for models
• Background in technical writing, academic research, or peer review

Why Join Us

• Work directly on projects with industry-leading AI research labs and shape the frontier of large language model capabilities
• Fully remote and asynchronous — work when and where you're most productive
• Freelance autonomy with the structure and consistency of ongoing, task-based technical work
• Engage with state-of-the-art AI systems at a depth few contractor roles offer
• Potential for ongoing work and contract renewals as new projects launch