At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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.
AI Quality Engineer (Remote) (Aberdeen City) in Fraserburgh employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Quality Engineers to thrive in a remote setting from Aberdeen City. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of autonomous agents, while also offering flexible working arrangements and a supportive environment for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality Engineer (Remote) (Aberdeen City) in Fraserburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or backend engineering. This gives potential employers a taste of what you can do beyond just words on a page.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to complex systems integration. Practising with a friend or using mock interview platforms can help you feel more confident.
✨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 to connect with us directly.
We think you need these skills to ace AI Quality Engineer (Remote) (Aberdeen City) in Fraserburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Quality Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with our focus on AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples to show how you've built production-grade software or handled multi-turn system interactions. This will help us see your practical experience in action.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to shaping the future of autonomous agents. Make it personal and let us know why you're excited about this opportunity.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Employer near you
✨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 Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you identified subtle failures or optimised workflows. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with Real-World Applications
Since the role involves working with live tools and APIs, make sure you understand how to integrate agents with platforms like Supabase and Gmail. Bring examples of how you've solved real-world problems using these tools, as this will highlight your practical experience and readiness for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and their approach to training Large Language Models. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers on a deeper level.
