QA Engineer (AI Applications) (Remote) in Edinburgh

QA Engineer (AI Applications) (Remote) in Edinburgh

Edinburgh Full-Time 50000 - 60000 € / 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: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement.
  • Why this job: Make a real impact on cutting-edge AI technology and complex systems.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 50000 - 60000 € 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.

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 using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

QA Engineer (AI Applications) (Remote) in Edinburgh employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community 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) in Edinburgh

Tip Number 1

Network like a pro! Reach out to folks in the AI and QA communities on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.

Tip Number 2

Showcase your skills! Create a portfolio that highlights your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise and make a lasting impression.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your experience with multi-turn system interactions and complex systems integration.

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) in Edinburgh

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 applications. We want to see how your skills fit into our mission!

Showcase Your Skills:Don’t just list your technical skills; show us how you’ve used them in real-world scenarios. Whether it’s building production-grade software or integrating APIs, give us examples that demonstrate your expertise and attention to detail.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to shaping the future of autonomous agents. We love seeing enthusiasm and a clear understanding of our projects.

Apply Through Our Website:We encourage you to apply through our website for a smoother application 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 Outlier AI

Know Your Tech Inside Out

Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you identified subtle failures or optimised workflows, as these will demonstrate your ability to think critically and provide high-density feedback.

Familiarise Yourself with AI Applications

Since the role focuses on AI agents, it’s crucial to understand how they work. Research the latest trends in AI, especially around Large Language Models and multi-turn interactions. Being able to discuss these topics will show your passion and knowledge in the field.

Ask Insightful Questions

Prepare thoughtful questions about the company's projects and their approach to training AI systems. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals and values.