At a Glance
- Tasks: Help 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 work on innovative, real-world applications.
- 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. 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) (Brighton) 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 environment 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 a culture of feedback ensures that you will thrive in your role, making meaningful contributions to cutting-edge projects from the comfort of your home in Brighton.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Brighton)
✨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. This is your chance to demonstrate your expertise and make a lasting impression on potential clients.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight how your experience aligns with what we’re doing at Outlier.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects in detail, especially those that involved multi-step coordination or integrating with live tools. Confidence is key!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Brighton)
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, so don’t hold back!
Be Specific:When detailing your technical skills, be specific about the languages you know and the projects you've worked on. Mention any experience with SQL databases and multi-turn system interactions to catch our eye.
Tailor Your Application:Take a moment to tailor your application to our project. Show us how your background aligns with training Large Language Models and improving AI agents. A personalised touch goes a long way!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
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 about your experience with databases and how you’ve used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you had to design workflows or optimise processes, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be prepared to talk about how you ensure quality in your work. Bring examples of how you’ve provided technical feedback on system behaviours and how that has improved project outcomes.
✨Familiarise Yourself with Real-World Applications
Research how autonomous agents are currently being used in various industries. Be ready to discuss how you can apply your skills to real-world problems, especially in relation to integrating agents with live tools and APIs.
