AI Quality Engineer (Remote) (Sheffield)

AI Quality Engineer (Remote) (Sheffield)

Sheffield Full-Time 50000 - 60000 € / year (est.) No home office possible
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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.

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.

AI Quality Engineer (Remote) (Sheffield) employer: Employer near you

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Quality Engineers to thrive in a remote setting from Sheffield. 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 and a supportive environment that values your contributions.

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Contact Detail:

Employer near you Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the AI and tech space, especially those who work with autonomous agents. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to backend engineering or AI automation. This gives potential employers a taste of what you can do beyond your CV.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail—especially those complex systems you've worked on.

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 hearing from passionate candidates who want to shape the future of AI!

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

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 align with our focus on AI automation and complex systems integration.

Showcase Your Skills:We want to see your command of programming languages like Python or JavaScript. Include specific examples of how you've used these skills in real-world scenarios, especially in building production-grade software.

Be Detail-Oriented:Attention to detail is key for us! When writing your application, ensure you provide clear and concise information about your technical feedback experiences and how you've handled complex system behaviours.

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 this exciting opportunity to shape the future of autonomous agents.

How to prepare for a job interview at Employer near you

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 improved system behaviours, as these will demonstrate your attention to detail and technical prowess.

Familiarise Yourself with the Company’s Projects

Research Outlier and their work with AI agents like OpenClaw. Understanding their projects and goals will not only help you answer questions more effectively but also show your genuine interest in the role and the company.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project expectations, and the technologies they use. This shows that you're not just interested in the job, but also in how you can contribute to their success and grow within the company.