Data Scientist (Masters)

Alignerr Corp.; Greater London; Remote; GBP 83,000 - 124,000; Part time

Job summary

Alignerr is seeking a Data Scientist (Masters) to design and stress-test AI models via expert-level challenges and rigorous solutions. You’ll craft tasks that push systems to their limits and document exactly why they fail to guide improvements.

This fully remote, hourly-contract role requires deep domain expertise and an analytical mindset; prior AI industry experience is not required. Flexible 10–40 hours/week.

Qualifications

• Pursuing or holding a Master's or PhD in a quantitative field.
• Strong grounding in supervised and unsupervised learning, deep learning, or NLP.
• Ability to communicate complex algorithmic concepts in writing.

Responsibilities

• Design Advanced Challenges - Create expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions - Develop 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 technical correctness, efficiency, and best practices
• Sharpen AI Reasoning - Identify logical failures in AI responses - data leakage, overfitting, improper handling of imbalanced datasets - and provide structured feedback that directly improves model reasoning

Skills

Supervised learning

Unsupervised learning

Deep learning

Big data spark/hadoop

NLP

Education

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

Tools

Scikit-Learn

PyTorch

TensorFlow

Python

SQL

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 thinks and reasons?

We're looking for data scientists with advanced training to help build and stress-test cutting-edge AI models. You'll design the kinds of complex, expert-level challenges that push AI systems to their limits - and when they fail, you'll document exactly why, so we can make them better.

This is a fully remote, flexible contract role. No prior AI industry experience required - just serious domain expertise and a sharp analytical mind.

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

What You'll Do

• Design Advanced Challenges - Create expert-level data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
• Author Ground-Truth Solutions - Develop 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 technical correctness, efficiency, and best practices
• Sharpen AI Reasoning - Identify logical failures in AI responses - data leakage, overfitting, improper handling of imbalanced datasets - and provide structured feedback that directly improves model reasoning

Who You Are

• Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
• Strong foundational knowledge across supervised and unsupervised learning, deep learning, big data technologies (Spark, Hadoop), or NLP
• Able to communicate complex algorithmic concepts and statistical results clearly and precisely in writing
• Detail-oriented - you catch errors in code syntax, mathematical notation, and statistical conclusions that others miss
• Self-motivated and comfortable working independently on an async schedule
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, data quality systems, or model evaluation
• Familiarity with production-level data science workflows - MLOps, CI/CD pipelines for models
• Exposure to multiple programming languages and statistical environments

Why Join Us

• Work directly alongside industry-leading AI research labs on genuinely frontier technology
• Fully remote and asynchronous - work when and where it suits you
• Freelance autonomy with meaningful, intellectually stimulating work
• High-impact role where your expertise shapes how advanced AI understands data science
• Potential for ongoing contracts and expanded project opportunities as new work launches