At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- 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 that influence the future of technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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 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.
Applied AI Engineer (Remote) (Aberdeen City) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the field of AI, offering a dynamic remote work environment from Aberdeen City. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge projects and leading AI organisations, fostering a culture of creativity and technical excellence. Join us to be part of a team 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 Applied AI Engineer (Remote) (Aberdeen City) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or backend engineering. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've tackled.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with multi-turn system interactions. We want to see how you think and solve problems, so practice articulating your thought process.
✨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’re always on the lookout for passionate individuals who want to shape the future of AI with us.
We think you need these skills to ace Applied AI Engineer (Remote) (Aberdeen City) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Applied AI Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Provide examples of your work with Python, JavaScript, or any other languages you know. We love seeing practical applications of your expertise!
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary and avoid jargon unless it’s relevant. We want to understand your experience without getting lost in the details.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the info you need about the role and our company there. We can’t wait to hear from you!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as they’ll likely ask you about database interactions during the interview.
✨Showcase Your Experience
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how it contributed to the success of your projects. Real-world examples will make your answers stand out!
✨Understand AI Workflows
Since the role involves training AI agents, be ready to talk about your understanding of complex systems integration and orchestration. Familiarise yourself with multi-turn system interactions and be prepared to explain how you’ve handled them in past roles.
✨Attention to Detail is Key
Demonstrate your ability to provide clear technical feedback by preparing a few examples of subtle failures you've identified in previous projects. This could include issues like privacy leaks or authority escalation—show them you can spot the details that matter!
