At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to train advanced generative systems and make a real impact.
- 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) (Aberdeen City) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive in their careers. Join us in Aberdeen City to be part of a forward-thinking company that values your contributions and 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) (Aberdeen City)
✨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 discussing your experience with complex systems!
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, make sure to highlight any relevant work you've done in AI applications or backend development. This is your chance to demonstrate your skills and creativity.
✨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 are proactive about their job search!
We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Aberdeen City)
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 Java.
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 the job description and what you can bring to our team.
Showcase Your Attention to Detail:Since attention to detail is key for this role, make sure your application is free from typos and errors. Use clear formatting and structure to make it easy for us to read and understand your qualifications.
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 get all the updates directly from us. Plus, it shows you’re keen on 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 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 QA.
✨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. Showing that you understand the practical implications of your work will set you apart and demonstrate your readiness to contribute to their projects.
