At a Glance
- Tasks: Help train advanced AI systems by providing human feedback and optimising workflows.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for growth.
- Other info: Be part of a dynamic team shaping the next generation of AI.
- Why this job: Make a real impact on the future of AI technology and development.
- Qualifications: 2+ years in backend engineering with strong coding skills in major languages.
The predicted salary is between 50000 - 60000 € 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote engineer in London employer: Outlier AI
At Outlier, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our engineers to innovate and excel in the rapidly evolving field of AI. With a strong emphasis on professional development, we offer numerous growth opportunities and the chance to work alongside industry leaders on groundbreaking projects from the comfort of your own home. Join us to be part of a mission-driven team that values creativity, collaboration, and the pursuit of excellence in shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer in London
✨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 open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to multi-stage coordination tasks and data processing.
✨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 Remote engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built and maintained production-grade software, so don’t hold back on those details!
Tailor Your Application:Customise your application to reflect the job description. Use keywords from the posting to show us you understand what we're looking for. It’ll make your application stand out!
Be Clear and Concise:Keep your writing clear and to the point. We appreciate a well-structured application that’s easy to read. Avoid jargon unless it’s relevant to the role!
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. We can’t wait to hear from you!
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 manage data.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how it improved the efficiency of your systems. Real-world examples will make your skills stand out!
✨Understand AI Workflows
Since the role involves working with AI agents, take some time to understand how these systems operate. Be ready to talk about any experience you have with AI automation or complex systems integration, and how you’ve contributed to similar projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects and their approach to training LLMs. This shows your genuine interest and helps you gauge if the company is the right fit for you.
