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: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your 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. 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.
OpenClaw Multi-Agent Engineer (Remote) in Warrington employer: Outlier AI
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 empowers engineers to thrive in a flexible environment while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Multi-Agent Engineer (Remote) in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with multi-agent systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with complex systems integration and how you've tackled real-world problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace OpenClaw Multi-Agent Engineer (Remote) in Warrington
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and multi-agent systems shine through. We love seeing candidates who are genuinely excited about shaping the future of autonomous agents like OpenClaw!
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. Use specific examples that demonstrate your skills in building production-grade software and handling complex system interactions. We want to see how you fit into our vision!
Be Clear and Concise:While we appreciate detail, clarity is key! Ensure your application is easy to read and gets straight to the point. Use bullet points if necessary to break down your qualifications and experiences. We’re looking for high-density technical feedback, so make it count!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
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 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 AI automation challenges. Think about how you’ve designed workflows or optimised processes in previous roles, and be ready to explain your thought process clearly.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be prepared to provide high-density technical feedback on past projects. Bring along examples of your work that highlight your ability to identify subtle issues, like privacy leaks or authority escalations, and how you resolved them.
✨Familiarise Yourself with Real-World Applications
Research how OpenClaw and similar agents operate in real-world scenarios. Be ready to discuss how you would integrate these agents with live tools and APIs, and think about potential challenges you might face in doing so.
