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 50000 - 70000 € 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 Agent Builder (Remote) (Cambridge) 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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive as they contribute to groundbreaking projects like OpenClaw. Join us in Cambridge and be part of a dynamic environment where your expertise will directly impact the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Agent Builder (Remote) (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems in live environments. Practice explaining your thought process clearly and concisely.
✨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, it shows you’re genuinely interested in joining our team at Outlier and shaping the future of autonomous agents.
We think you need these skills to ace OpenClaw Agent Builder (Remote) (Cambridge)
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We love seeing candidates who are genuinely excited about shaping the future of technology, so don’t hold back!
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering or AI automation. Use specific examples that demonstrate your skills in building production-grade software and handling complex systems integration.
Be Clear and Concise:We appreciate clarity! When detailing your technical skills and experiences, keep it straightforward. Avoid jargon where possible and focus on how your background aligns with the role of OpenClaw Agent Builder.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 need to demonstrate your ability to work with databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the role of OpenClaw in shaping autonomous agents. This will help you align your answers with their objectives and show that you're genuinely interested in contributing to their projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current challenges or future projects. This not only shows your enthusiasm but also demonstrates your critical thinking skills and understanding of the complexities involved in AI systems.
