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# AI Trainer - Data Science

- **Company:** Planet Pharma
- **Location:** Norwich, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Generative AI, Information Technology
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2879244748-ai-trainer-data-science

## About the Role

* Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines.
 * Undergraduate study does not count toward the minimum experience requirement.
 * Working proficiency in Python and/or SQL, with the ability to read, understand, and evaluate technical code.
 * Availability to commit 30-40 hours per week throughout the full 12-week assignment.
 * Strong written communication skills and attention to detail.
 * Ability to work independently in a fully remote environment.
 * General familiarity with AI, Large Language Models (LLMs), or generative AI tools at a user level.

Preferred Skills

 * Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Physics, or another quantitative discipline.
 * Experience reviewing technical work, conducting quality assessments, or evaluating analytical outputs.
 * Professional experience across multiple data domains, including machine learning, predictive analytics, experimentation, statistical inference, or data engineering.
 * Exposure to generative AI technologies and AI-assisted coding tools.

## Description

We are seeking experienced Data Science professionals to join a cutting-edge AI evaluation project as an AI Coder / AI Response Evaluator., * Review, assess, and evaluate AI-generated responses within data science and related technical domains.

 * Analyze the accuracy, quality, completeness, and relevance of AI-produced outputs.
 * Compare multiple AI-generated solutions and identify the strongest response based on technical merit.
 * Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content.
 * Provide clear written feedback and justification for evaluation decisions.
 * Identify factual inaccuracies, logical errors, coding issues, and opportunities for improvement.
 * Apply professional expertise to ensure responses align with real-world industry standards and best practices.
 * Work independently while maintaining quality and productivity expectations.
 * Participate in onboarding and qualification activities, including an initial paid assessment.


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