QA Engineer (AI Applications) (Remote) (Leicester)

QA Engineer (AI Applications) (Remote) (Leicester)

Leicester Full-Time 45000 - 55000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Shape the future of AI by providing human feedback to innovative agents.
  • Company: Outlier, a leader in AI collaboration and development.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects 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 45000 - 55000 € 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) (Leicester) employer: Employer near you

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.

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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) (Leicester)

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 applications or complex systems. This is your chance to shine and demonstrate what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common QA scenarios and technical questions related to AI. Practise explaining your thought process clearly; it’s all about showing how you tackle problems.

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) (Leicester)

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 AI automation, and don’t forget to mention any relevant projects you've worked on that align with our focus on complex systems integration.

Showcase Your Skills:We want to see your technical skills shine! Be sure to list the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. This will help us understand how you can contribute to our projects.

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and how your background aligns with our mission to improve autonomous agents. Make it personal and engaging!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.

How to prepare for a job interview at Employer near you

Know Your Tech Stack

Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you'll likely be asked about your experience with databases during the interview.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.

Understand the Project's Goals

Familiarise yourself with Outlier’s mission and the projects they’re working on, especially around AI agents and LLMs. This will help you align your answers with their objectives and demonstrate your genuine interest in shaping the future of autonomous agents.

Ask Insightful Questions

Prepare thoughtful questions about the role and the team dynamics. Inquire about the tools they use for integration or how they handle multi-turn interactions. This shows that you're not just interested in the job, but also in how you can contribute to their success.