At a Glance
- Tasks: Shape the future of AI by training advanced language models and optimising workflows.
- 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 exciting projects and career advancement.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
The predicted salary is between 60000 - 80000 € 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) in Wolverhampton employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field, particularly as an OpenClaw LLM Engineer. With a strong focus on innovation and collaboration, employees benefit from a dynamic work culture that encourages creativity and professional growth, all while working remotely. The company offers unique opportunities to engage with cutting-edge technology and contribute to transformative projects that shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw LLM Engineer (Remote) in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. This gives us a tangible way to see what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on technical concepts and real-world applications. We love seeing candidates who can discuss their thought process and problem-solving strategies in detail.
✨Tip Number 4
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.
We think you need these skills to ace OpenClaw LLM Engineer (Remote) in Wolverhampton
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 projects that showcase your skills with AI automation or complex systems integration. We want to see how your background aligns with our mission!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you built production-grade software or worked with multi-turn system interactions. This helps us understand your hands-on experience.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. Remember, we’re looking for outstanding attention to detail!
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 Experience with Real-World Applications
Prepare examples from your previous work where you built production-grade software or handled complex system integrations. Be ready to discuss how you approached multi-turn interactions and what challenges you faced while working in live environments.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you identified subtle failures in systems, like privacy leaks or authority escalations. Sharing these experiences will show your attention to detail and your ability to provide high-density technical feedback, which is crucial for the role.
✨Familiarise Yourself with Autonomous Agents
Since the role involves shaping the future of autonomous agents, do some research on current trends and challenges in AI. Being able to discuss how you can contribute to training advanced generative systems will set you apart from other candidates.