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: Freelance flexibility, remote work, and the chance to work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle complex real-world challenges.
- Why this job: Join us to make a real impact on the next generation of autonomous agents.
- 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. Do you want to shape the future of autonomous agents like OpenClaw? 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.
LLM Agent Engineer (Freelance, Remote) (Birmingham) employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field, particularly as an LLM Agent Engineer. With a focus on innovative projects and collaboration with leading AI organisations, employees benefit from a dynamic work culture that fosters creativity and growth. The remote nature of the role allows for flexibility while working alongside passionate professionals dedicated to shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Birmingham)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who are already working with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects related to backend engineering or AI automation. Include any cool stuff you've built with Python, JavaScript, or other languages. This is your chance to demonstrate your expertise and make a lasting impression.
✨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. Practise explaining your thought process clearly, as communication is key in this field.
✨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 the specific role and showcasing how your skills align with what we’re looking for.
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Birmingham)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration. Don't hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your application for the LLM Agent Engineer role. Use keywords from the job description and relate your past experiences to the specific qualifications we're looking for. This helps us see why you're the perfect fit!
Be Clear and Concise:When writing your application, clarity is key! We appreciate straightforward language that gets to the point. Avoid jargon unless it's necessary, and make sure your technical feedback examples are easy to understand.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
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 might be asked to solve real-world problems using these technologies during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.
✨Be Ready for Technical Challenges
Expect to tackle some technical questions or challenges related to multi-turn system interactions. Practise explaining your thought process clearly, as they’ll be looking for your problem-solving approach and attention to detail.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and their approach to training LLMs. This shows your genuine interest in the role and helps you understand how you can contribute to their innovative work.
