Data Science Expert - AI Content Specialist

Alignerr Corp.; Glasgow; Remote; GBP 55,000 - 110,000; Full time

Job summary

Alignerr Corp. is seeking a Data Science Expert – AI Content Specialist to challenge and improve cutting-edge AI systems from home on an hourly, flexible schedule.

The role targets experienced data scientists who want meaningful, intellectually stimulating work with varying weekly commitments (10–40 hours). Key work includes designing advanced ML challenges, producing ground-truth solutions with Python/R scripts, and auditing AI-generated code using Scikit-Learn, PyTorch, and TensorFlow.

Qualifications

• Advanced degree in data science, statistics, CS or quantitative field with data-analysis focus.
• Strong foundation in supervised/unsupervised learning, deep learning, NLP, and big data tools.
• Ability to communicate complex algorithmic concepts clearly in writing.

Responsibilities

• Design complex data science challenges across ML topics and evaluation metrics.
• Author rigorous, step-by-step technical solutions with code and queries.
• Audit AI outputs with common libraries assessing accuracy and efficiency.
• Identify data leakage, overfitting, and imbalanced datasets and provide actionable feedback.
• Document model failure modes and practical improvements.

Skills

Advanced data science

Analytical writing

Statistical reasoning

Education

Master’s or PhD in Data Science or related field

Tools

Python

R

SQL

Scikit-Learn

PyTorch

TensorFlow

Job description

Data Science Expert – AI Content Specialist

About The Role

What if your expertise in machine learning and statistical modeling could directly shape how the world's most advanced AI thinks? We're looking for Data Science Experts to challenge, evaluate, and improve cutting-edge AI systems — turning your deep domain knowledge into a tangible impact on AI development.

This is a fully remote, flexible contract role designed 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 — pushing AI models to their limits
• Author Ground-Truth Solutions: Develop rigorous, step-by-step technical solutions including Python/R scripts, SQL queries, and mathematical derivations that serve as benchmark "golden responses"
• Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow — assessing technical accuracy, efficiency, and correctness
• Refine AI Reasoning: Identify logical flaws in AI-generated reasoning — such as data leakage, overfitting, or improper handling of imbalanced datasets — and provide structured feedback to improve model performance
• Document Failure Modes: Systematically capture how and where AI models break down, producing insights that directly harden model reasoning

Who You Are

• Advanced Degree: Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field with heavy emphasis on data analysis
• Domain Expertise: Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
• Analytical Writer: Able to communicate complex algorithmic concepts and statistical results clearly and concisely in written form
• Detail-Oriented: High precision when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
• No prior AI experience required — your data science expertise is what matters

Nice to Have

• Prior experience with data annotation, data quality, or evaluation systems
• Proficiency in production-level data science workflows such as MLOps or CI/CD for models
• Familiarity with large language model evaluation or prompt engineering

Why Join Us

• Work directly with industry-leading AI research teams and cutting-edge language models
• Fully remote and asynchronous — work when and where it suits you
• Freelance autonomy with the structure of meaningful, intellectually engaging work
• Contribute to AI development that shapes how technology reasons about data science
• Potential for ongoing work and contract extension as new projects launch