At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents with innovative technology.
- Company: Join Outlier, a leader in AI feedback and development.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and collaborate with top tech minds.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
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.
Frontier AI Agent Builder (Remote) (Oxford) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in a dynamic field, while our remote setup offers flexibility and work-life balance. Join us in shaping the future of autonomous agents and enjoy the unique advantage of working alongside leading AI organizations in Oxford.
StudySmarter Expert Advice🤫
We think this is how you could land Frontier AI Agent Builder (Remote) (Oxford)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems using SQL databases. Practice explaining your thought process clearly!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your relevant experience and passion for shaping the future of AI agents.
We think you need these skills to ace Frontier AI Agent Builder (Remote) (Oxford)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Frontier AI Agent Builder. Highlight your experience in backend engineering and any relevant projects 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 applications, especially in live environments.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We want to see your thought process, so make sure your explanations are easy to follow.
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 ensures you don’t miss out on any important updates!
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 how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Detail-Oriented
Highlight your attention to detail by discussing how you provide technical feedback on system behaviours. Bring up any experiences where your meticulousness helped identify subtle failures or improved system performance.
✨Familiarise Yourself with Real-World Applications
Since the role involves integrating agents with live tools, it’s a good idea to research how these integrations work. Be prepared to discuss any hands-on experience you have with APIs or tools like Supabase and how they can solve real-world problems.
