At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents like OpenClaw.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on live systems and tackle real-world challenges.
- Why this job: Make a real impact on cutting-edge AI projects that redefine technology.
- Qualifications: 2+ years in backend engineering and strong skills in major programming languages.
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 Engineer (Remote) (Bristol) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer, offering a dynamic remote work environment that fosters innovation and collaboration. Our culture is built on continuous learning and growth, providing employees with ample opportunities to develop their skills in cutting-edge AI technologies while working alongside industry leaders. With a focus on meaningful projects that shape the future of autonomous agents, we ensure that our team members are not only valued but also empowered to make a significant impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Engineer (Remote) (Bristol)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with OpenClaw or similar projects. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your backend engineering projects or any AI automation work you've done. This is your chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for the interview by diving deep into the tech stack mentioned in the job description. Brush up on Python, JavaScript, or whatever languages you’re comfortable with, and be ready to discuss how you've tackled complex systems integration.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace OpenClaw Engineer (Remote) (Bristol)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the OpenClaw Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you’ve used them! Provide examples of how you've built production-grade software or handled multi-turn system interactions. We love seeing real-world applications of your expertise.
Be Clear and Concise:We appreciate clarity! Make sure your written application is easy to read and straight to the point. Use bullet points where necessary to break down complex information, especially when discussing technical feedback or system behaviours.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions effectively.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, be ready to explain how you ensure quality in your work. Discuss any processes you follow to catch subtle issues, like privacy leaks or authority escalations, and how you provide technical feedback on system behaviours.
✨Familiarise Yourself with Real-World Applications
Research how OpenClaw and similar AI agents operate in real-world scenarios. Be prepared to discuss how you would integrate agents with live tools and APIs, and think about potential challenges you might face in these integrations.
