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New rolePosted 15 June 2026Springpod

Class Chats: Verifying AI Knowledge

A

Amazon

Remote (UK)Virtual Experience

Role overview

About this role

Overview: From chatbots and virtual assistants to online recommendations, AI is already a big part of your daily life — and it’s only getting bigger. But even the smartest AI can get things wrong. In this short, high-impact Sprint, you'll step into the role of a tech professional at Amazon. You'll learn why verifying AI-generated information is essential, and how critical thinking makes AI systems more reliable, trusted and safe. Curious about what goes into developing AI systems? In this Class Chat, you’ll find out more about the essentials of AI, and get an understanding of how AI systems process and deliver information. You’ll review the information AI has provided, and check whether it’s really as accurate as it says it is! Your task: Over the course of around two hours, you’ll review AI-generated content, identify inaccuracies, and practise thinking like a professional verifier. You'll build the questioning skills that are critical for anyone working with AI — now and in the future. Why it matters: After completing your task, you’ll compare your approach to a model response from an Amazon expert. You’ll strengthen your critical thinking, information analysis, and problem-solving skills — key assets for careers in tech, innovation, and beyond.

Job details

Compensation

Unpaid opportunity

Location

Remote (UK)

Remote available

Posted

15 June 2026

Entry requirements

Requirements not available here

The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.

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Remote (UK)

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Company

Amazon

Amazon hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.

TechnologySoftwareDataProduct

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Company insight

Applying to Amazon

Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.

  • Talk through one project in terms of problem, trade-offs, result, and what you would improve.
  • Be ready to explain code or data decisions without jargon.
  • Connect technical work to users, reliability, security, or business value.
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