AI Quality Engineer (Remote) (Bradford)

AI Quality Engineer (Remote) (Bradford)

Part-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 improve autonomous agents.
  • Company: Outlier, a leader in AI innovation and collaboration.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects and career advancement potential.
  • 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 - 60000 € per year.

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? 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 using 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.

AI Quality Engineer (Remote) (Bradford) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Quality Engineers to thrive in a remote setting. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of AI technology, while also offering flexible working arrangements that promote a healthy work-life balance.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Quality Engineer (Remote) (Bradford)

Tip Number 1

Network like a pro! Reach out to folks in the AI and tech 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 backend engineering. This gives potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on common technical questions related to AI and software development. Practice 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. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace AI Quality Engineer (Remote) (Bradford)

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 AI Quality Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.

Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work to show how you’ve built production-grade software and handled multi-turn system interactions. This will help us see your practical experience in action.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about shaping the future of autonomous agents and how your background makes you a perfect fit for our team. Keep it engaging and personal!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Outlier AI

Know Your Tech Inside Out

Make sure you brush up on your programming languages, especially Python and JavaScript, as well as SQL databases. Be ready to discuss your past projects in detail, focusing on how you built and maintained production-grade software.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex system integrations or AI automation challenges. Highlight any experience with multi-turn interactions and how you approached those scenarios to ensure smooth operations.

Attention to Detail is Key

During the interview, demonstrate your ability to provide clear, high-density feedback on technical issues. Bring up specific instances where your attention to detail made a difference in your work, especially regarding identifying subtle failures.

Familiarise Yourself with Real-World Applications

Research how autonomous agents like OpenClaw function and be prepared to discuss how you can contribute to training these systems. Mention any hands-on experience you have with integrating agents with live tools and APIs, as this will show your practical knowledge.