Data Science Expert - AI Content Specialist

Data Science Expert - AI Content Specialist

Posted 1 week ago by Alignerr

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Negotiable
Undetermined
Remote
Glasgow, Scotland, United Kingdom
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Artificial Intelligence Bayesian Inference Big Data Computer Science Continuous Integration and Continuous Delivery Data Quality Data Science Deep Learning Dimensionality Reduction External Auditing Machine Learning Natural Language Processing Probability And Statistics PyTorch (Machine Learning Library) Scheduling Scikit-learn (Machine Learning Library) SQL (Programming Language) Statistics Syntax TensorFlow Workflows

Summary: The Data Science Expert – AI Content Specialist role involves leveraging expertise in machine learning and statistical modeling to enhance advanced AI systems. This fully remote, flexible contract position is aimed at experienced data scientists who will design complex challenges, author solutions, and audit AI-generated code. The role emphasizes the importance of analytical writing and detail-oriented work to refine AI reasoning and document failure modes. Candidates will have the opportunity to work with leading AI research teams and contribute to impactful AI development.

Key Responsibilities:

  • Design Complex Challenges: Craft advanced 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.
  • Audit AI-Generated Code: Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow.
  • Refine AI Reasoning: Identify logical flaws in AI-generated reasoning and provide structured feedback.
  • Document Failure Modes: Systematically capture how and where AI models break down.

Key Skills:

  • Advanced Degree: Master's (pursuing or completed) or PhD in Data Science, Statistics, Computer Science, or a quantitative field.
  • Domain Expertise: Strong foundational knowledge across supervised/unsupervised learning, deep learning, big data technologies, or NLP.
  • Analytical Writer: Ability to communicate complex algorithmic concepts and statistical results clearly.
  • Detail-Oriented: High precision when reviewing code syntax, mathematical notation, and statistical conclusions.
  • 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.

Salary (Rate): £32.00 hourly

City: Glasgow

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

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
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