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 options, 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, with strong coding skills.
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) (City of Edinburgh) in Bonnyrigg 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 the beautiful City of Edinburgh. With a strong focus on employee growth, we offer opportunities to work on cutting-edge projects that shape the future of AI, alongside competitive benefits and a commitment to work-life balance. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact in the world of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Quality Engineer (Remote) (City of Edinburgh) in Bonnyrigg
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with backend engineering and multi-turn system interactions.
✨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 AI Quality Engineer (Remote) (City of Edinburgh) in Bonnyrigg
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 showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world scenarios, especially in building production-grade software.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We want to see your passion for AI and how you can contribute to our projects, so make sure to express that enthusiasm without rambling.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you into our system quickly!
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 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 AI automation or complex systems integration. Think of instances where you had to troubleshoot issues or optimise workflows, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, practice articulating how you ensure quality in your work. Bring up experiences where your attention to detail made a significant difference, especially in providing technical feedback on system behaviours.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated into live environments. Be prepared to discuss your hands-on experience with tools like Supabase or Gmail, and think about how you can apply that knowledge to solve real-world problems in the role you're applying for.
