At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative agents.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- 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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
QA Engineer (AI Applications) (Remote) (Newcastle upon Tyne) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to play a pivotal role in shaping the future of AI applications from the comfort of their homes in Newcastle upon Tyne. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development, alongside competitive benefits that support work-life balance and professional advancement. Join us to be part of a forward-thinking team dedicated to pushing the boundaries of technology and making a meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (Newcastle upon Tyne)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and QA communities on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Practice coding challenges and system design questions that relate to backend engineering and AI automation. We want you to feel confident when showcasing your expertise!
✨Tip Number 3
Don’t forget to tailor your pitch! When you get the chance to chat with potential employers, highlight your experience with multi-turn system interactions and your knack for providing clear technical feedback. Make it personal and relevant to what they’re looking for.
✨Tip Number 4
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. Let’s shape the future of AI together!
We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Newcastle upon Tyne)
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 cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to articulate your passion for AI and how you can contribute to our projects without fluff.
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.
✨Get Familiar with Real-World Applications
Since the role involves working with live environments and multi-turn interactions, be ready to discuss your practical experiences in these areas. Think of examples where you’ve built production-grade software and how you ensured its reliability and performance in real-world scenarios.
✨Attention to Detail is Key
Given the emphasis on providing clear technical feedback, practice articulating your thoughts on complex system behaviours. Prepare to explain how you identify subtle failures and what steps you take to address them, as this will show your meticulous nature and commitment to quality.
