At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents like OpenClaw.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with a focus on real-world problem-solving.
- Why this job: Join a team that’s redefining AI with cutting-edge technology and impactful projects.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 70000 € per year.
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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
OpenClaw LLM Engineer (Remote) (Sheffield) 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 both personally and professionally. Join us in Sheffield to be part of a forward-thinking company that values your expertise and encourages you to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) (Sheffield)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to LLMs or backend engineering. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI automation and complex systems. We want to see how you think through problems, so practice articulating your thought process.
✨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’re always on the lookout for passionate candidates who want to shape the future of autonomous agents.
We think you need these skills to ace OpenClaw LLM Engineer (Remote) (Sheffield)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the OpenClaw LLM 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 brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific projects where you’ve had to design workflows or optimise processes, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
Since this role requires a keen eye for detail, come prepared with examples of how you've provided technical feedback on system behaviours. Highlight any experiences where your attention to detail made a significant impact on a project.
✨Familiarise Yourself with Real-World Applications
Research how OpenClaw integrates with live tools like Supabase and Gmail. Be ready to discuss how you would approach integrating agents with these tools to solve real-world problems, as this will show your practical understanding of the role.
