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 Multi-Agent Engineer (Remote) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. 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 backend engineering or AI automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with complex systems integration.
✨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 genuinely interested in joining our team.
We think you need these skills to ace OpenClaw Multi-Agent Engineer (Remote)
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and multi-agent systems! In your application, share why you're excited about shaping the future of autonomous agents like OpenClaw. A personal touch can really make you stand out.
Highlight Relevant Experience:Make sure to showcase your 2+ years of experience in backend engineering or AI automation. We want to know about your hands-on projects and how you've tackled complex systems integration. Be specific!
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language to explain your technical skills and experiences. Remember, we appreciate high-density feedback, so get to the point while still being thorough.
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 any important updates. Plus, it shows you’re keen on 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 might be asked to solve problems on the spot or discuss your past projects involving these technologies.
✨Showcase Your Experience with Real-World Applications
Prepare examples from your previous work where you built production-grade software or handled complex system integrations. Be ready to discuss how you approached multi-turn interactions and what challenges you faced while working in live environments.
✨Demonstrate Your Problem-Solving Skills
Think of specific instances where you identified and resolved subtle failures in systems, such as privacy leaks or authority escalations. This will show your attention to detail and ability to provide high-density technical feedback, which is crucial for the role.
✨Familiarise Yourself with Multi-Agent Systems
Since the role involves training AI agents, it’s a good idea to brush up on concepts related to multi-stage coordination tasks and how data acquisition leads to reasoned outputs. Being able to discuss these topics will demonstrate your passion and understanding of the field.
