At a Glance
- Tasks: Shape the future of AI by training advanced Large Language Models.
- 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: Make a real impact on cutting-edge AI technology and autonomous agents.
- Qualifications: 2+ years in backend engineering and 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. 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 LLM Engineer (Remote) (Glasgow City) 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 as they contribute to groundbreaking projects like OpenClaw. Join us in Glasgow City, where you will be part of a dynamic team dedicated to shaping the future of autonomous agents, all while enjoying a supportive environment that values your expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) (Glasgow City)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those who work with LLMs. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. 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. Highlight any experience with multi-turn system interactions or integrating agents with live tools. This will make you stand out when we’re looking for someone who can hit the ground running.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice explaining your thought process clearly and concisely, as we value outstanding attention to detail and clear communication. Mock interviews can be a great way to get comfortable!
✨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. Let’s shape the future of autonomous agents together!
We think you need these skills to ace OpenClaw LLM Engineer (Remote) (Glasgow City)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration in your previous roles.
Be Specific About Your Experience:When detailing your qualifications, be specific about the languages you've used and the projects you've worked on. Mention any hands-on experience with live environments and multi-turn interactions to really catch our eye.
Attention to Detail is Key:We love candidates who pay attention to detail. Make sure your application is free from typos and clearly outlines your technical feedback skills. This shows us you can handle the complexities of our projects.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
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 how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL databases and be prepared to explain how you've handled data parsing, logic processing, and reporting in your previous roles.
✨Demonstrate Attention to Detail
Highlight your ability to provide clear, high-density feedback on complex system behaviours. Prepare to discuss how you've identified subtle failures in past projects and what steps you took to resolve them.
