Data Science Expert - AI Content Specialist

Alignerr; Wellington; On-site; NZD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote work

Flexible hours

Potential for ongoing work

Job summary

Alignerr is seeking a Data Science Expert - AI Content Specialist for a fully remote hourly contract. The role involves designing hard data science problems, building gold-standard solutions, and auditing AI-generated code to improve model reasoning.

Collaboration with leading AI research labs is central to the work. Applicants should have advanced degrees or be pursuing them in quantitative fields, with deep expertise in ML/DL, NLP, and big data.

Qualifications

• Master's or PhD in a quantitative field with strong data analysis emphasis.
• Strong knowledge in supervised/unsupervised learning, deep learning, NLP or big data technologies.

Responsibilities

• Design challenging data science problems across advanced topics such as hyperparameter optimization and Bayesian inference.
• Build ground-truth solutions with rigorous, step-by-step technical demonstrations including Python/R scripts and SQL queries.
• Audit AI-generated code for correctness, efficiency, and best practices across libraries.
• Sharpen AI reasoning by identifying data leakage, overfitting, and imbalanced datasets and providing structured feedback.

Skills

Data analysis

Supervised learning

Unsupervised learning

Deep learning

NLP

Statistical concepts

Education

Master's or PhD in Data Science/Statistics/CS or related with strong data analysis

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Job description

Data Science Expert - AI Content Specialist

About The Role

What if your data science expertise could directly shape how the world's most advanced AI models reason, code, and solve problems? At Alignerr, we partner with leading AI research labs to train and improve cutting-edge language models - and we need sharp data scientists to help us do it. This is a fully remote, flexible contract role where your domain knowledge becomes the benchmark. You'll design hard problems, build gold-standard solutions, and expose the blind spots in AI reasoning. No prior AI experience needed - just deep expertise in your field.

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

What You'll Do

• Design Challenging Problems - Create advanced data science tasks spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Build Ground-Truth Solutions - Author rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive "correct" answer
• Audit AI-Generated Code - Evaluate AI outputs across libraries like Scikit-Learn, PyTorch, and TensorFlow for technical correctness, efficiency, and best practices
• Sharpen AI Reasoning - Identify logical flaws in AI outputs - such as data leakage, overfitting, or improper handling of imbalanced datasets - and provide structured feedback that improves how models think

Who You Are

• Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with strong data analysis emphasis
• Deep knowledge in one or more of: 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
• High attention to detail - you catch errors in code syntax, mathematical notation, and statistical logic
• 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 such as MLOps or CI/CD for models

Why Join Us

• Work directly with industry-leading AI models and top research labs
• Fully remote and asynchronous - work when and where it suits you
• Freelance autonomy with meaningful, intellectually stimulating work
• Contribute to AI development that has a real impact on how technology reasons about data
• Potential for ongoing work and contract extension as new projects launch