At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to impact cutting-edge technology.
- Other info: Opportunity to work with top AI organisations and tackle real-world challenges.
- Why this job: Be at the forefront of AI development and enhance your skills in a dynamic environment.
- 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. 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) (Manchester) 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 innovation and collaboration, we offer a dynamic remote work culture that fosters creativity and professional growth, allowing you to work alongside leading AI organisations while shaping the future of autonomous agents. Our commitment to employee development and the flexibility of freelance opportunities make this an ideal environment for passionate individuals eager to advance their careers in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Manchester)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on freelance gigs or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This will give potential clients a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with backend engineering and AI automation to catch our eye.
✨Tip Number 4
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. Be ready to discuss how you've tackled real-world problems and how you can contribute to shaping the future of autonomous agents.
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Manchester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the LLM Agent 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! Include specific examples of projects where you built production-grade software or worked with multi-turn system interactions. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. This will help us quickly grasp your qualifications.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 need to discuss how you’ve used these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex systems you've integrated or automated. Be ready to explain your thought process and how you tackled challenges, especially in live environments. This will demonstrate your hands-on experience and ability to think critically.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the specifics of training Large Language Models. Think about how your background aligns with their focus on multi-step agents and architectural workflows, and be prepared to discuss how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, challenges they face with AI agents, or how they measure success. This not only shows your enthusiasm but also helps you gauge if it’s the right fit for you.
