Data Science Expert - AI Content Specialist

Alignerr Corp.; Auckland; Remote; NZD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Asynchronous work

Contract renewal opportunities

Job summary

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to stress-test, evaluate, and improve cutting-edge AI models. You will craft complex challenges and author ground-truth solutions that serve as benchmarks for model reasoning.

This fully remote, hourly contract role offers flexible hours (10–40 per week) and opportunities for project renewals. You will evaluate code with Scikit-Learn, PyTorch, and TensorFlow, and communicate intricate ideas clearly.

Qualifications

• Holds or is pursuing a Master’s or PhD in a quantitative field such as Data Science, Statistics, or CS.
• Strong foundations in ML, statistics, NLP, or big data tech (Spark/Hadoop).
• Able to communicate complex concepts in writing.
• Exceptionally detail-oriented and precise.
• No prior AI annotation experience required.

Responsibilities

• Design complex challenges across ML domains to probe AI reasoning.
• Author ground-truth solutions with code and SQL queries as benchmarks.
• Audit AI-generated code for correctness and efficiency.
• Refine AI reasoning by documenting failures and providing structured feedback.

Skills

Supervised learning

Unsupervised learning

Deep learning

Big data

NLP

Education

Master's or PhD

Tools

Scikit-Learn

PyTorch

TensorFlow

Python

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 the intelligence of tomorrow's AI systems? We're looking for Data Science Experts to stress-test, evaluate, and improve cutting-edge AI models — uncovering their blind spots and helping them reason more accurately across complex technical domains.

This is a fully remote, flexible contract role built for experienced data scientists who want meaningful, intellectually stimulating work on their own schedule.

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

What You'll Do

• Design Complex Challenges — Craft advanced data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more to probe the limits of AI reasoning
• Author Ground-Truth Solutions — Develop rigorous, step-by-step technical responses including Python/R scripts, SQL queries, and mathematical derivations that serve as the definitive benchmark for model evaluation
• Audit AI-Generated Code — Critically evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing for correctness, efficiency, and best practices
• Refine AI Reasoning — Identify and document logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, then provide structured feedback to improve how models think and respond

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 expertise in areas such as 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
• Exceptionally detail-oriented — you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• No prior AI or annotation experience required

Nice to Have

• Experience with data annotation, data quality assurance, or model evaluation workflows
• Familiarity with production-level data science practices such as MLOps or CI/CD pipelines for models

Why Join Us

• Work directly with industry-leading AI models and contribute to their development at the frontier of AI research
• Fully remote and asynchronous — work on your own schedule, from anywhere in the world
• Freelance autonomy with high-impact, intellectually engaging work
• Ongoing contract renewal opportunities as new projects launch
• Be part of a global network of domain experts shaping the future of AI