Data Scientist (Masters)

Alignerr Corp.; Christchurch; Remote; GBP 83,000 - 138,000; Part time

Benefits offered by this job

Fully remote

Flexible hourly contract

Freelance autonomy

Job summary

Alignerr is seeking a Data Scientist (Masters) to act as an AI Data Trainer for remote, hourly contract work. You will design challenges, author solutions, and audit AI-generated code to expose model weaknesses while advancing AI reasoning.

The role requires graduate-level data science expertise and precision, with 10-40 hours per week. You’ll work independently on schedule, contributing to frontier model development and building a portfolio of high-impact training tasks.

Qualifications

• Master's or PhD in a quantitative field is required or in progress.
• Strong foundation across data science domains including ML, DL, and NLP.
• Ability to communicate complex concepts in writing with precision.

Responsibilities

• Design advanced data science challenges covering ML methods and evaluation strategies.
• Write rigorous, ground-truth solutions with code and mathematical derivations.
• Audit AI-generated code for correctness and efficiency using standard libraries.
• Provide structured feedback to improve AI model reasoning and data handling.
• Work independently on task-based assignments on your own schedule.

Skills

Supervised learning

Unsupervised learning

Deep learning

NLP

Big data (Spark/Hadoop)

Python

R

SQL

Education

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

Tools

Scikit-Learn

PyTorch

TensorFlow

Job description

Data Scientist (Masters) - AI Data Trainer

About The Role

What if your deep knowledge of machine learning, statistical inference, and data engineering could directly shape how the world's most advanced AI systems reason and problem-solve?

We're looking for data scientists with graduate-level expertise to help train and evaluate cutting-edge AI models. You'll design complex technical challenges, author rigorous solutions, and audit AI-generated code - exposing model weaknesses and pushing the boundaries of what AI can reason through.

This is a fully remote, flexible contract role. No prior AI experience needed - just a strong command of data science and a sharp eye for technical precision.

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

What You'll Do

• Design Advanced Challenges: Develop complex, domain-spanning data science problems - covering hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions: Write rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as definitive reference answers
• Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow for correctness, efficiency, and technical soundness
• Refine AI Reasoning: Identify logical failures in AI outputs - 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 your own schedule

Who You Are

• Currently pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational knowledge across core data science domains - 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
• Highly detail-oriented when it comes to code syntax, mathematical notation, and the validity of statistical conclusions
• Self-motivated and reliable when working independently
• No prior AI training or annotation experience required

Nice to Have

• Experience with data annotation, data quality evaluation, or model evaluation workflows
• Familiarity with production-level data science practices - MLOps, CI/CD for models, or similar
• Exposure to academic or applied research in machine learning or statistics
• Prior work in technical writing, code review, or curriculum design

Why Join Us

• Work directly alongside leading AI research labs on frontier model development
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with consistent, meaningful, technically engaging work
• Build a portfolio of high-impact AI training contributions at the cutting edge of the field
• Potential for ongoing contracts and expanded project opportunities as new work launches