QA Engineer (AI Applications) (Remote) (Manchester) in London

QA Engineer (AI Applications) (Remote) (Manchester) in London

London Full-Time 40000 - 50000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by providing human feedback to innovative agents.
  • Company: Join Outlier, a leader in AI collaboration and innovation.
  • Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
  • Other info: Dynamic remote environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects and technologies.
  • Qualifications: 2+ years in backend engineering or AI automation with strong coding skills.

The predicted salary is between 40000 - 50000 € 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 — 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.

QA Engineer (AI Applications) (Remote) (Manchester) in London employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to play a pivotal role in shaping the future of AI applications from the comfort of their own homes. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development while working on cutting-edge projects with leading AI organisations. Our remote setup not only promotes work-life balance but also connects you with a diverse team of experts dedicated to pushing the boundaries of technology.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land QA Engineer (AI Applications) (Remote) (Manchester) in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems. This is your chance to shine beyond the written application.

Tip Number 3

Prepare for interviews by brushing up on common QA scenarios and technical questions. Practice explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.

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 take that extra step!

We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Manchester) 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 and maintain production-grade software, so make that clear!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!

How to prepare for a job interview at Outlier AI

Know Your Tech Inside Out

Make sure you brush up on your technical skills, especially in the languages mentioned like Python or JavaScript. Be ready to discuss your past projects and how you've tackled complex systems integration. This is your chance to show off your expertise!

Showcase Your Problem-Solving Skills

Prepare examples of how you've solved real-world problems using AI automation or backend engineering. Think about specific challenges you've faced and how you approached them. This will demonstrate your ability to think critically and adaptively.

Understand the Company’s Vision

Familiarise yourself with Outlier's mission and the projects they’re involved in, like training Large Language Models. Showing that you understand their goals and how you can contribute will set you apart from other candidates.

Ask Insightful Questions

Prepare thoughtful questions about the role and the team dynamics. This not only shows your interest but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation!