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 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) (Newcastle upon Tyne) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to shape 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 to work on cutting-edge projects alongside leading AI organisations, ensuring that your contributions have a meaningful impact on the development of advanced generative systems. Our commitment to flexibility and remote working options makes us an attractive choice for those seeking a rewarding career in technology.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (Newcastle upon Tyne) in London
✨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 gives us a taste of what you can do beyond the written word.
✨Tip Number 3
Prepare for the interview like it’s a big game! Research Outlier and our projects, and think about how your experience aligns with our mission. We love seeing candidates who are genuinely excited about what we do.
✨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, it shows you’re serious about joining our team!
We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Newcastle upon Tyne) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the QA Engineer role. Highlight your experience with backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills in building production-grade software.
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 autonomous agents. Share specific examples of your work with complex systems integration and how it relates to our projects.
Show Off Your Technical Skills:We want to see your technical prowess! Be sure to list the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. This will help us understand your fit for the role.
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 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 your previous roles. Think about specific instances where you identified failures or optimised workflows. This will demonstrate your ability to think critically and provide valuable feedback.
✨Understand the Company’s Vision
Familiarise yourself with Outlier's mission and the projects they’re working on. Being able to discuss how your skills align with their goals, especially in training AI agents, will show that you're genuinely interested and invested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and future developments in AI applications. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
