At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Join a cutting-edge company at the forefront of AI innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- Why this job: Make a real impact on advanced generative systems and collaborate with top AI organisations.
- Qualifications: 2+ years in backend engineering or AI automation, strong coding skills in major languages.
The predicted salary is between 50000 - 70000 € 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) (London) 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 own homes. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development, alongside competitive benefits that support work-life balance. Join us in London as we push the boundaries of technology and create meaningful impact in the AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (London)
✨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 are relevant to QA engineering. We want you to feel confident and ready to tackle any question thrown your way!
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, make sure to highlight your work with AI applications and backend systems. This is your chance to demonstrate your skills and creativity to potential employers.
✨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 QA Engineer (AI Applications) (Remote) (London)
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 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 AI agents. Mention specific experiences that align with our projects and how you can contribute to our mission.
Showcase 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. Real-world examples of your work will make a big impact!
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 shows you’re serious about joining our team!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with the programming languages mentioned in the job description, like Python or JavaScript, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex systems integration or built production-grade software. Highlight any experiences where you had to provide technical feedback on system behaviours, as this will demonstrate your attention to detail.
✨Familiarise Yourself with Real-World Applications
Since the role involves working with live tools and APIs, it’s a good idea to have some hands-on experience or at least a solid understanding of how these integrations work. Be ready to discuss any relevant projects where you’ve solved real-world problems using these technologies.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, especially around their work with Large Language Models and autonomous agents. This shows your genuine interest and helps you gauge if the company is the right fit for you.
