At a Glance
- Tasks: Help shape the future of AI by providing human feedback on innovative projects.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with excellent career advancement opportunities.
- Why this job: Make a real impact on cutting-edge AI systems and work with top tech companies.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 40000 - 50000 € 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.
QA Engineer (AI Applications) (Remote) (City of Edinburgh) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from the beautiful City of Edinburgh. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a culture of creativity and support. Join us to be part of a team that not only values your contributions but also empowers you to shape the future of autonomous agents.
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 applications 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 related to AI. 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 AI automation, and don’t forget to mention any relevant projects that showcase your skills with languages like Python or JavaScript.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about shaping the future of AI agents. Share specific examples of how your past experiences align with our mission at StudySmarter.
Showcase Your Attention to Detail:Since we value outstanding attention to detail, make sure your application is free from typos and errors. This is your first chance to demonstrate your ability to provide clear, high-density feedback on complex systems.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in the languages mentioned like Python or JavaScript. Be ready to discuss your past projects and how you've tackled complex systems integration. This is your chance to show off your expertise!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've handled real-world challenges in AI automation or backend engineering. Think about specific instances where you identified subtle failures or optimised workflows. This will demonstrate your ability to think critically and provide high-density feedback.
✨Understand the Company’s Vision
Familiarise yourself with Outlier's mission and their work with AI agents. Being able to articulate how your skills align with their goals will set you apart. Show them that you're not just looking for a job, but that you're genuinely interested in shaping the future of autonomous agents.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the projects you'll be working on. This shows your enthusiasm and helps you gauge if the company is the right fit for you. Ask about their approach to training LLMs or how they handle multi-turn interactions.
