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 opportunities.
- 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) (Nottingham) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Quality Engineers to shape the future of autonomous agents from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge AI technologies, while our commitment to meaningful projects ensures that your contributions have a real-world impact. Join us in Nottingham and be part of a team that values creativity, technical excellence, and the pursuit of groundbreaking solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality Engineer (Remote) (Nottingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or backend engineering. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've tackled.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research Outlier and our projects, and be ready to discuss how your experience aligns with our mission. We want to see your passion for shaping the future of autonomous agents!
✨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’re always on the lookout for talent that fits our innovative culture.
We think you need these skills to ace AI Quality Engineer (Remote) (Nottingham)
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 technical skills shine! Be sure to mention your proficiency in at least two major programming languages and any hands-on experience you have with SQL databases. This will help us understand how you can contribute to our projects.
Detail Your Experience:When describing your past roles, focus on your experience building production-grade software and handling multi-turn system interactions. We love attention to detail, so make sure to provide clear examples of your work and the impact it had.
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, we love seeing candidates who take the initiative to connect with us directly.
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.
