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 salary, and growth opportunities.
- 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 50000 - 70000 € per year.
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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
OpenClaw Multi-Agent Engineer (Remote) (Brighton) 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 in Brighton. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that you can advance your skills while working on meaningful projects that shape the future of autonomous agents. Join us to be part of a dynamic team that values creativity and technical excellence, all while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Multi-Agent Engineer (Remote) (Brighton)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to multi-agent systems or backend engineering. We love seeing what you can do in action!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and system design questions relevant to the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI agents.
We think you need these skills to ace OpenClaw Multi-Agent Engineer (Remote) (Brighton)
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and multi-agent systems! Share any personal projects or experiences that highlight your interest in shaping the future of autonomous agents like OpenClaw.
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your backend engineering experience and any relevant projects that demonstrate your ability to build production-grade software.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re the perfect fit for this role. Discuss your experience with complex systems integration and how you can contribute to our mission of training advanced generative systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates about the process!
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 Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and solve problems under pressure.
✨Highlight Attention to Detail
Since the role requires outstanding attention to detail, be ready to discuss how you've provided clear technical feedback on complex system behaviours. Bring up any experiences where your meticulousness led to significant improvements or prevented issues in your projects.
✨Familiarise Yourself with Real-World Applications
Research how OpenClaw and similar AI agents are integrated into live environments. Be prepared to discuss your hands-on experience with tools like Supabase or Gmail, and how you've solved real-world problems using APIs. This will show that you understand the practical implications of your work and can contribute from day one.
