At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative spirit.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects that redefine technology.
- Qualifications: 2+ years in backend engineering or AI automation; 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. 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.
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 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.
AI Engineer (Remote) (Cambridge) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Engineers to thrive in a remote setting while contributing to groundbreaking projects. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of AI advancements. Join us in shaping the future of autonomous agents and enjoy the flexibility of remote work alongside a passionate team dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems. We want to see what you can do, so make it easy for us to be impressed!
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research our company and the projects we’re working on. We love candidates who are genuinely interested in shaping the future of AI agents.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to dive into the world of AI.
We think you need these skills to ace AI Engineer (Remote) (Cambridge)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills with LLMs or complex systems integration. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at Outlier. Be sure to mention specific experiences that relate to the job description — we love seeing genuine enthusiasm!
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially your proficiency in languages like Python or JavaScript. If you've worked with SQL databases or built production-grade software, make sure to include those details. We’re keen on seeing your hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy — just a few clicks and you’re done!
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'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve optimised workflows or improved system interactions, as this will resonate well with the interviewers.
✨Be Ready for Technical Questions
Expect questions that dive deep into your experience with multi-turn system interactions and handling real-world data. Practise explaining your thought process clearly and concisely, as they’ll want to see how you approach technical challenges.
✨Demonstrate Attention to Detail
During the interview, pay close attention to the questions being asked and provide thorough, well-thought-out responses. If you can, share examples of how your attention to detail has helped you identify issues like privacy leaks or other subtle failures in past projects.
