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 projects and career advancement.
- Why this job: Be at the forefront of AI technology and make a real impact.
- 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 Agent Builder (Remote) in Oxford 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 you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to shape the future of autonomous agents and be part of a team that values your expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Agent Builder (Remote) in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving 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. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our projects. Tailor your application to highlight your experience with multi-stage coordination tasks and any hands-on work with APIs. Let's shape the future of autonomous agents together!
We think you need these skills to ace OpenClaw Agent Builder (Remote) in Oxford
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 makes the whole process smoother for everyone involved.
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 any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex systems you've integrated or automated. Think about specific challenges you faced and how you overcame them, especially in live environments. This will demonstrate your ability to handle multi-turn system interactions effectively.
✨Be Detail-Oriented
Since attention to detail is crucial for this role, practice articulating your thought process when providing technical feedback. Bring examples of how your meticulousness has led to improvements in past projects, particularly in identifying subtle failures.
✨Familiarise Yourself with Real-World Applications
Research how AI agents like OpenClaw are being used in various industries. Be prepared to discuss how you can contribute to building multi-stage coordination tasks and integrating agents with tools like Supabase or Gmail to solve actual problems.
