At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 40000 - 50000 € 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.
- 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.
QA Engineer (AI Applications) (Remote) (City of Edinburgh) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to contribute to cutting-edge AI projects from the comfort of their own homes in Edinburgh. With a strong emphasis on employee growth, Outlier offers opportunities to work alongside leading AI organisations, enhancing your skills while shaping the future of autonomous agents. The flexibility of remote work combined with a commitment to meaningful projects makes Outlier a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (City of Edinburgh)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and QA 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 complex systems. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and technical questions. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨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 that extra step!
We think you need these skills to ace QA Engineer (AI Applications) (Remote) (City of Edinburgh)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the QA Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with AI automation or complex systems integration.
Showcase Your Skills:Don’t just list your skills; show us how you’ve used them! Provide examples of how you've built production-grade software and handled multi-turn system interactions. We love seeing practical applications of your expertise.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experiences and achievements. Remember, we appreciate outstanding attention to detail!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Outlier AI
✨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 have examples of your work handy to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially those involving AI automation or complex systems integration. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your ability to think critically and adapt.
✨Be Detail-Oriented
Since attention to detail is crucial for this role, practice articulating how you ensure quality in your work. Discuss your methods for providing clear technical feedback and how you handle multi-turn system interactions, as this will show that you understand the importance of precision in software development.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated into live environments and be prepared to discuss your experience with tools like Supabase or APIs. This will not only show your technical knowledge but also your understanding of how these systems operate in real-world scenarios, which is key for the role.
