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 focus on collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on cutting-edge projects.
- Other info: Opportunity to work with top AI organisations and grow your career in tech.
- Why this job: Make a real impact in AI automation and enhance your skills in a dynamic environment.
- 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. 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.
AI Automation Engineer (Freelance, Remote) in Cambridge employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a focus on innovative projects and collaboration with leading AI organisations, we offer a dynamic work culture that fosters creativity and growth. As a freelance AI Automation Engineer, you will have the flexibility to work remotely while contributing to cutting-edge technology that shapes the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or relevant forums. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We love seeing real-world applications of your work, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common coding challenges and system design questions to impress your potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who want to shape the future of AI with us!
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) in Cambridge
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 production-grade software and tackled complex systems integration. Don't hold back on those technical details!
Tailor Your Application:Take a moment to customise your application for the role. Mention specific projects or experiences that align with our focus on training Large Language Models and multi-step agents. This shows us you're genuinely interested in what we do.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate outstanding attention to detail, so make sure your application is well-structured and free of errors. This reflects your ability to provide high-density technical feedback.
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 makes the whole process smoother for everyone involved!
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 have examples of your work handy to showcase your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in AI automation or complex systems integration. Think of scenarios where you had to build production-grade software or handle multi-turn system interactions, and be ready to explain how you approached these problems.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might be asked to analyse a scenario during the interview, so being precise and thorough in your explanations will set you apart.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with live tools like Supabase or Gmail. Being able to discuss real-world applications and your hands-on experience with APIs will show that you understand the practical implications of your work and can contribute effectively from day one.
