AI Quality Engineer (Remote) (Cambridge) in London

AI Quality Engineer (Remote) (Cambridge) in London

London Full-Time 50000 - 70000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Help shape the future of AI by providing human feedback to improve autonomous agents.
  • Company: Join a leading tech company focused on innovative AI solutions.
  • Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote work environment with exciting projects and career advancement opportunities.
  • Why this job: Be at the forefront of AI technology and make a real impact on advanced generative systems.
  • Qualifications: 2+ years in backend engineering or AI automation with strong programming skills.

The predicted salary is between 50000 - 70000 € per year.

About the Project

Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer β€” we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Remote working/work at home options are available for this role.

AI Quality Engineer (Remote) (Cambridge) in London employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Quality Engineers to shape the future of autonomous agents from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge AI technologies, all while working alongside some of the most forward-thinking companies in the industry. Our remote setup not only promotes work-life balance but also encourages a diverse and inclusive environment where every voice is valued.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land AI Quality Engineer (Remote) (Cambridge) in London

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or backend engineering. This gives potential employers a taste of what you can do beyond just a CV.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to AI systems. Practice explaining your thought process clearly, as communication is key in this field.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace AI Quality Engineer (Remote) (Cambridge) in London

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

Some tips for your application 🫑

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your past work that align with our mission at StudySmarter.

Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing candidates who can build production-grade software, so make sure to highlight relevant projects!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and we can’t wait to see your application come through!

How to prepare for a job interview at Outlier AI

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration in the past.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've built production-grade software and handled multi-turn system interactions. Highlight any real-world problems you've solved using APIs or integrating agents with live tools.

✨Attention to Detail is Key

Demonstrate your ability to provide clear, high-density technical feedback. Bring specific examples where your attention to detail made a difference, especially in identifying subtle failures or optimising workflows.

✨Be Ready for Technical Questions

Expect questions that dive deep into your technical expertise. Practice explaining complex concepts clearly and concisely, as this will show your understanding and ability to communicate effectively with the team.