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 flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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 Peterborough employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field, particularly as an OpenClaw LLM Engineer. With a strong focus on collaboration and innovation, we offer a dynamic remote work culture that fosters creativity and professional growth, alongside opportunities to work with cutting-edge technology and leading AI organisations. Our commitment to employee development and a supportive environment ensures that you can thrive while shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) in Peterborough
✨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 or GitHub repository showcasing your projects, especially those related to LLMs or backend engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI automation and complex systems. Practising with a friend or using mock interview platforms can really help you nail it!
✨Tip Number 4
Don’t forget to 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.
We think you need these skills to ace OpenClaw LLM Engineer (Remote) in Peterborough
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! 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 our projects and culture while you’re at it!
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, especially Python and JavaScript. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your understanding of databases and how they integrate with backend systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experience you have with multi-turn interactions and how you’ve optimised workflows in real-world scenarios.
✨Be Ready for Technical Questions
Expect questions that dive deep into your technical expertise. They might ask about your experience with live environments or how you handle data parsing and logic processing. Practise explaining your thought process clearly and concisely.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, prepare to discuss how you ensure quality in your work. Bring examples of how you’ve provided technical feedback on system behaviours and how you’ve identified subtle issues like privacy leaks or authority escalation.
