At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work options, competitive salary, and professional growth.
- Other info: Dynamic role with opportunities to work on live, real-world projects.
- Why this job: Make a real impact on cutting-edge AI technology and workflows.
- Qualifications: 2+ years in backend engineering and 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) (Liverpool) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home in Liverpool. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that you can advance your career while working on meaningful and impactful technology. Join us to be part of a team that values creativity and expertise, as we shape the future of autonomous agents together.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) (Liverpool)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering fields on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs 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 technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours.
✨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.
We think you need these skills to ace OpenClaw LLM Engineer (Remote) (Liverpool)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to shaping the future of autonomous agents!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about working with LLMs and how your background makes you a great fit for the role. Don’t forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills:Since we’re looking for someone with a strong command of programming languages, make sure to list your proficiency in Python, JavaScript, or any other relevant languages. If you've worked with SQL databases or built production-grade software, let us know!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team 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. Being able to discuss real-world applications of your skills will show that you understand the practical implications of your work and are ready to contribute from day one.
