At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents like OpenClaw.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and complex workflows.
- 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.
OpenClaw LLM Engineer (Remote) in Leeds employer: Outlier
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to shape the future of autonomous agents. Join us to be part of a dynamic team that values your expertise and encourages you to push the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) in Leeds
✨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 job openings or can put in a good word for you.
✨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 passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace OpenClaw LLM Engineer (Remote) in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the OpenClaw LLM 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! Provide examples of your work with languages like Python or JavaScript, and mention any experience you have with SQL databases. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! When describing your past experiences, be concise but detailed enough to convey your impact. Use bullet points if it helps make your achievements stand out. Remember, we’re looking for outstanding attention to detail!
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
✨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 providing clear technical feedback, practice articulating your thoughts on system behaviours. You might be asked to analyse a scenario or code snippet, so being precise and thorough will show you can handle the responsibilities of the position.
✨Familiarise Yourself with Real-World Applications
Research how autonomous agents are currently being used in various industries. Be prepared to discuss how you would integrate these systems with live tools like Supabase or Gmail, and think about potential challenges you might face in real-world applications.
