Amazon
Location
Remote (UK)
Deadline
30 March 2027
Type
virtual simulation
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.
Entry Requirements
Not published for this listing
The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.
See entry requirements on employer listingUse these cues to judge how complete and actionable this listing looks.
Amazon hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.
Student note
Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.
Typical process
Fewer than 3% of applicants
Online application
Day 1
Online assessment (Work Simulation + coding for tech roles)
1–2 weeks after application
The Work Simulation tests judgement aligned to Amazon Leadership Principles. Read all 16 LPs before starting.
Phone screen
1–2 weeks after assessment
Loop interviews (4–7 interviews in a day)
2–3 weeks after phone screen
Every interview uses the Leadership Principles. Prepare 2–3 STAR stories per principle, especially Ownership and Customer Obsession.
Application tips
Location
Remote (UK)
Deadline
30 March 2027
Type
virtual simulation
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.
Entry Requirements
Not published for this listing
The employer hasn't published structured entry requirements through this listing. Check their application page for GCSEs, A-Levels, or any other entry criteria.
See entry requirements on employer listingUse these cues to judge how complete and actionable this listing looks.
Amazon hires students into technology-focused teams where software, data, infrastructure, product thinking, reliability, and user impact often matter.
Student note
Good preparation includes project evidence, curiosity, debugging examples, teamwork, and being able to explain technical choices clearly.
Typical process
Fewer than 3% of applicants
Online application
Day 1
Online assessment (Work Simulation + coding for tech roles)
1–2 weeks after application
The Work Simulation tests judgement aligned to Amazon Leadership Principles. Read all 16 LPs before starting.
Phone screen
1–2 weeks after assessment
Loop interviews (4–7 interviews in a day)
2–3 weeks after phone screen
Every interview uses the Leadership Principles. Prepare 2–3 STAR stories per principle, especially Ownership and Customer Obsession.
Application tips