At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic role with a focus on real-world applications and impact.
- Why this job: Join a cutting-edge team shaping the future of AI technology.
- 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.
- 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
LLM Engineer (Remote) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility that allows you to thrive from the comfort of your home in Leicester. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while working alongside industry leaders, fostering a culture of continuous learning and development. Join us to be part of a dynamic team dedicated to shaping the future of AI through meaningful projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or relevant forums. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend engineering and AI automation. Practising with a friend can help you articulate your thoughts clearly.
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace LLM Engineer (Remote)
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 you describe your past projects, be specific about the technologies you used, especially the programming languages like Python or JavaScript. We love seeing concrete examples of your work!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with our job description. Show us why you're the perfect fit for the LLM Engineer role.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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 they’ll likely ask you about database interactions and how you’ve used these technologies in past projects.
✨Showcase Your Experience
Prepare specific examples from your previous work that demonstrate your ability to build and maintain production-grade software. Talk about how you’ve handled complex systems integration and any challenges you faced while working on multi-turn system interactions.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission to improve AI agents through human feedback. Think about how your skills can contribute to training Large Language Models and be ready to discuss your ideas on optimising architectural workflows.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
