QA Engineer (AI Applications) (Remote) (Oxford)

QA Engineer (AI Applications) (Remote) (Oxford)

Oxford Full-Time 50000 - 60000 € / year (est.) Home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by providing human feedback to innovative agents.
  • Company: Join a cutting-edge company transforming AI technology.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement.
  • Why this job: Be at the forefront of AI development and make a real impact.
  • Qualifications: 2+ years in backend engineering or AI automation with strong coding skills.

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.

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 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) (Oxford) 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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive in their careers. With a focus on meaningful projects that shape the future of autonomous agents, we offer a unique environment where your contributions directly impact cutting-edge 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) (Oxford)

✨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

Prepare for those interviews by brushing up on your technical skills. Practice coding challenges and system design questions that are relevant to QA engineering. We want you to feel confident and ready to tackle any question thrown your way!

✨Tip Number 3

Showcase your projects! Whether it's a GitHub repo or a personal website, make sure to highlight your work with AI applications and backend systems. This is your chance to demonstrate your skills and creativity to potential employers.

✨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 the initiative to connect directly with us.

We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Oxford)

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 QA Engineer role. 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 AI and how your background makes you a great fit for the team. Don’t forget to mention specific projects or technologies you've worked with that relate to the job.

Showcase Your Technical Skills:When applying, be sure to list the programming languages you’re proficient in, like Python or JavaScript. If you have experience with SQL databases or integrating agents with live tools, let us know! We love seeing practical examples of your work.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!

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 the programming languages mentioned in the job description, like Python or JavaScript, 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 multi-turn interactions. Think about specific challenges you've faced and how you resolved them, especially in live environments. This will demonstrate your practical experience and attention to detail.

✨Familiarise Yourself with Their Projects

Research Outlier and their work with AI agents. Understanding their projects, like OpenClaw, will help you align your answers with their goals and show that you're genuinely interested in contributing to their mission.

✨Ask Insightful Questions

Prepare thoughtful questions about the role and the team. Inquire about their approach to training LLMs or how they handle feedback on system behaviours. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.