Position Overview

The Responsible AI Specialist, Technology Workstreams will support the practical delivery and operationalisation of Pearson’s Responsible AI agenda, with a focus on technical implementation. Reporting to Lead of Responsible AI, this role will help teams apply Pearson’s Responsible AI principles and governance framework to AI-enabled products and systems, supporting responsible design, development, testing, deployment, and ongoing monitoring.

Key Responsibilities

• AI Governance Implementation: Help product and engineering teams embed Responsible AI into their flow of work = the AI lifecycle.
• Model & System Documentation: Support efforts to maintain clear technical documentation, and decision logs to support governance reviews, audit readiness, and continuous assurance.
• Testing & Quality Assurance: Contribute to defining best practices for benchmarking, evaluation, red-teaming coordination, model monitoring, and review activities that assess AI performance, and reliability.
• Cross-Functional Collaboration: Work with colleagues to embed responsible practices into technical delivery.

Qualifications & Skills

• Bachelor’s degree or equivalent experience in computer science, data science, engineering, information systems, statistics, human-computer interaction, ethics, or a related field.
• Early-career experience with AI/ML, data science, software delivery, technical product work, model evaluation, risk assessment, or technology assurance.
• Working knowledge of AI/ML concepts and interest in their ethical, legal, operational, and learning-impact implications.
• Strong analytical and problem-solving skills, with the ability to translate technical issues into clear governance documentation.
• Clear communication skills for technical and non-technical audiences.
• Ability to collaborate effectively with engineering, product, governance, legal, privacy, and security stakeholders.
• High ethical standards and integrity.

Why Pearson?

This role offers an opportunity to contribute to an enterprise-wide Responsible AI capability at the world’s lifelong learning company. It provides hands-on exposure to AI governance and cross-functional change, with opportunities to grow into broader responsible AI initiatives and strategic governance.