Amazon AI: Career Tour at Amazon is listed on Apprentice Wizard from Springpod. It was last seen live on 25 October 2026. The closing date is listed as 31 March 2027. Confirm the closing date and entry requirements on the employer's application page before you apply.
Amazon
Location
Remote (UK)
Deadline
31 March 2027
Type
virtual simulation
Overview Artificial intelligence is changing the way we live and work, and it’s quickly becoming a tool that people everywhere rely on. But what exactly is it? And who’s behind the AI systems we use? This tour will cover everything you need to know about different careers in this rapidly growing field. From design to ethical considerations, join our experts and learn about the teams responsible for each aspect of creating a successful AI system. Through short, easily digestible videos, you will discover process of building, improving and utilising AI systems at Amazon. What's Included - Discover what Artificial Intelligence is and learn how it’s already implemented in the technology we use everyday - Explore the elements of an AI system - Find out how Amazon ensures the AI they deploy is tested and used responsibly - Learn how you can explore AI independently to broaden your knowledge.
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.
Use 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
31 March 2027
Type
virtual simulation
Overview Artificial intelligence is changing the way we live and work, and it’s quickly becoming a tool that people everywhere rely on. But what exactly is it? And who’s behind the AI systems we use? This tour will cover everything you need to know about different careers in this rapidly growing field. From design to ethical considerations, join our experts and learn about the teams responsible for each aspect of creating a successful AI system. Through short, easily digestible videos, you will discover process of building, improving and utilising AI systems at Amazon. What's Included - Discover what Artificial Intelligence is and learn how it’s already implemented in the technology we use everyday - Explore the elements of an AI system - Find out how Amazon ensures the AI they deploy is tested and used responsibly - Learn how you can explore AI independently to broaden your knowledge.
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.
Use 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