At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and training advanced systems.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on real-world problem-solving.
- Why this job: Join a cutting-edge project that impacts the development of autonomous agents.
- 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 Contributor - AI Agents (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 every team member can contribute meaningfully to shaping the future of autonomous agents. Join us in Cambridge and be part of a dynamic team that values your expertise and encourages you to push the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Contributor - AI Agents (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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI agents or backend engineering. 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. Practice common interview questions and scenarios related to AI automation.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications that come directly from our platform. It shows you're genuinely interested in joining our team and helps us keep track of your application more easily.
We think you need these skills to ace OpenClaw Contributor - AI Agents (Remote) (Cambridge)
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for AI and autonomous agents! Share any personal projects or experiences that highlight your interest in this field. We love candidates who are genuinely excited about shaping the future of technology.
Tailor Your Application:Make sure to customise your CV and cover letter to match the job description. Highlight your relevant experience in backend engineering and AI automation, and don’t forget to mention your proficiency in the programming languages we’re looking for!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your skills and experiences, especially when discussing complex systems. We appreciate clarity and attention to detail!
Apply Through Our Website:We encourage you to submit your application directly 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 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 systems integration. Be ready to discuss how you approached multi-turn system interactions and what challenges you faced while working in live environments.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might be asked to analyse a scenario or a piece of code, so being precise and thorough will set you apart.
✨Be Ready to Discuss Integration Challenges
Familiarise yourself with integrating agents with live tools and APIs. Think of specific instances where you tackled issues like privacy leaks or session discovery. This will show that you not only understand the theory but also have practical experience in solving real-world problems.
