At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and training advanced systems.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Flexible remote work, competitive pay, and opportunities to work on groundbreaking projects.
- Other info: Dynamic role with potential for significant career advancement in AI.
- Why this job: Join a team that’s redefining AI technology and make a real impact.
- 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.
Freelance AI Agent Engineer (Remote) (London) employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a remote work culture that promotes flexibility and innovation, employees are encouraged to collaborate with leading organisations while honing their skills in cutting-edge technology. The company offers ample opportunities for professional growth and development, making it an ideal place for passionate individuals eager to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Freelance AI Agent Engineer (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or backend engineering. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with complex systems integration and how you've tackled real-world problems. Practice common interview questions and think about how you can relate your past work to the role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about our projects. Tailor your application to highlight your relevant experience and show us why you're the perfect fit for the Freelance AI Agent Engineer role.
We think you need these skills to ace Freelance AI Agent Engineer (Remote) (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Freelance AI Agent Engineer. Highlight your experience in backend engineering and any relevant projects that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've built production-grade software or worked with multi-turn system interactions. We love seeing real-world applications of your expertise.
Be Clear and Concise:When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so get to the point while still showcasing your passion for shaping the future of autonomous agents.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
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 you'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight your experience with multi-turn interactions and how you’ve optimised workflows in past projects.
✨Be Ready for Technical Questions
Expect questions that dive deep into your technical expertise. They might ask about your experience with live environments or how you handle data parsing and logic processing. Practise articulating your thought process clearly and concisely.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be prepared to discuss how you ensure quality in your work. Bring examples of how you’ve provided high-density feedback on complex behaviours and how you’ve identified subtle failures in previous projects.
