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

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

London Full-Time 50000 - 70000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Help shape the future of AI by providing human feedback on innovative projects.
  • Company: Outlier, a leader in AI collaboration with top tech companies.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting challenges and career advancement.
  • Why this job: Join us to train advanced generative systems and make a real impact.
  • Qualifications: 2+ years in backend engineering or AI automation, strong coding skills required.

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, 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) (London) employer: Employer near you

Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from London. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a culture of creativity and support. Join us to be part of a team that not only values your contributions but also empowers you to shape the future of autonomous agents.

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Contact Detail:

Employer near you Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land QA Engineer (AI Applications) (Remote) (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 personal connection can make all the difference when it comes to landing that interview.

Tip Number 2

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

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past experiences in detail.

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 QA Engineer (AI Applications) (Remote) (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 is tailored to the QA Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with AI automation or complex systems integration.

Showcase Your Skills:Don’t just list your skills; show us how you’ve used them! Provide examples of how you've built production-grade software and handled multi-turn system interactions. We love seeing practical applications of your expertise.

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 and how your background makes you a perfect fit for our team at StudySmarter.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Employer near you

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 adapt in a fast-paced environment.

Understand the Company’s Vision

Familiarise yourself with Outlier's mission and the projects they’re working on, like OpenClaw. Showing that you understand their goals and how you can contribute will set you apart from other candidates. It’s all about aligning your skills with their vision!

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 is the right fit for you. Questions about their approach to AI and how they handle multi-turn interactions can spark great conversations.