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) (Cambridge) in London 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 while shaping the future of autonomous agents. With a strong emphasis on employee growth, Outlier offers opportunities to work alongside leading AI organisations, enhancing skills in backend engineering and complex systems integration. The company values attention to detail and provides a supportive environment where your contributions directly impact the development of cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality Engineer (Remote) (Cambridge) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or backend engineering. We want to see what you can do, so make sure it’s easy for us to find your work online.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI quality engineering. We recommend doing mock interviews with friends or using platforms that offer practice sessions to boost your confidence.
✨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 AI Quality Engineer (Remote) (Cambridge) in London
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:When writing your application, don’t just list your skills—show us how you’ve used them! Provide examples of how you've built production-grade software or handled multi-turn system interactions. We love seeing real-world applications of your expertise.
Be Clear and Concise:We appreciate clarity! Make sure your written application is easy to read and straight to the point. Use bullet points where necessary to break down your achievements and experiences, especially when discussing technical feedback and 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 the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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.
✨Practice Clear Communication
Since the role involves providing high-density technical feedback, practice articulating your thoughts clearly and concisely. You might be asked to explain complex concepts, so being able to communicate effectively is key to making a great impression.
