AI Scientist
Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 20, 2026. Pearson scores B on the Alion truth index.
Responsible AI Specialist, Technology
Workstreams
Reports to: Lead of Responsible AI, Office of the Chief Technology Officer (OCTO)
Shape the future of Responsible AI at Pearson. Inspire growth. Empower learning.
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.