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 remote work with flexible hours and opportunities to work on cutting-edge projects.
- Other info: Dynamic role with potential for growth in the fast-evolving AI landscape.
- Why this job: Join a team that’s redefining AI technology and make a real impact on the future.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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) (Leicester) 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 focus on employee growth, we provide opportunities to enhance your skills in backend engineering and AI automation while working alongside industry leaders. Join us in shaping the future of autonomous agents and enjoy the flexibility of freelance work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Agent Engineer (Freelance, Remote) (Leicester)
✨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 projects! Create a portfolio that highlights your experience with LLMs and backend engineering. Make sure to include any cool integrations you've done with APIs or live tools — this will make you stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects in detail. Practice explaining complex concepts clearly, as communication is key in this field.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about shaping the future of AI agents. It shows initiative and helps us get to know you better!
We think you need these skills to ace LLM Agent Engineer (Freelance, Remote) (Leicester)
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, so don’t hold back on the details!
Tailor Your Application:Customise your application to fit the job description. Use keywords from the posting, especially around LLMs and multi-step agents, to show us you understand what we're looking for.
Be Clear and Concise:When describing your past projects, keep it straightforward. We appreciate clarity, so focus on your contributions and the impact they had on the project outcomes.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us.
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 have examples of your work handy to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects, especially those involving complex systems integration or AI automation. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your ability to think critically and adapt.
✨Understand the Project's Goals
Familiarise yourself with Outlier's mission and the specifics of training Large Language Models. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the role and understand the impact of your work.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team, the projects you'll be working on, or the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation during the interview.
