Data Science Expert - AI Content Specialist

Alignerr; United States; Remote; AUD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Data Science Expert – AI Content Specialist for a remote hourly contract (10-40 hours/week). You will design advanced challenges, author ground-truth solutions with Python/R, SQL, and math derivations to benchmark AI responses, and audit AI-generated code for correctness and efficiency.

You bring a Master's or PhD in a quantitative field and strong knowledge of supervised/unsupervised learning, deep learning, NLP, and big data tools like Spark/Hadoop.

Qualifications

• 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 in writing.
• Highly precise - you catch errors in code syntax, mathematical notation, and statistical conclusions.
• Self-motivated and reliable when working independently on task-based assignments.
• No prior AI or annotation experience required.

Responsibilities

• 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.
• Audit AI-Generated Code - Evaluate code for correctness, efficiency, and best practices using libraries like Scikit-Learn, PyTorch, and TensorFlow.
• Refine AI Reasoning - Identify flaws in AI logic and provide structured feedback to improve model reasoning.
• Document Failure Modes - Surface how AI models break down on complex topics to guide research teams.

Skills

Data science

Statistics

Deep learning

NLP

Supervised learning

Unsupervised learning

Education

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

Tools

Spark

Hadoop

PyTorch

TensorFlow

Scikit-Learn

Job description

Data Science Expert – AI Content Specialist

About The Role

• 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 precise - 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