At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Freelance remote work, flexible hours, and the chance to work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges and grow your expertise.
- Why this job: Join a team that’s redefining AI agents and make a real impact in tech.
- 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 Newport employer: Outlier
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the AI space. Our remote work culture allows for flexibility and autonomy, empowering you to contribute meaningfully to cutting-edge projects while enjoying a healthy work-life balance. With opportunities for professional growth and the chance to work alongside industry leaders, joining our team means being at the forefront of shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Newport
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and automation space. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have a lead on a freelance gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving complex systems integration or AI automation. Make sure to highlight any experience with LLMs or multi-stage coordination tasks — this will grab attention!
✨Tip Number 3
Tailor your pitch! When reaching out to potential clients or companies, customise your message to reflect their needs. Mention how your experience aligns with their projects, especially if you've worked with tools like Supabase or APIs.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Don’t miss out on the chance to join innovative teams shaping the future of AI agents. Get your application in today!
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) in Newport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Automation Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
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’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience and problem-solving abilities.
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. This will help us quickly grasp your qualifications and fit for 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. Plus, it gives you a chance to explore more about what we do at Outlier and how you can contribute!
How to prepare for a job interview at Outlier
✨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 real-world problems using these technologies during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of multi-turn system interactions and how you handle them. Practise explaining your thought process clearly, especially when discussing how you’ve tackled challenges like privacy leaks or authority escalation in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the projects you'll be working on. Inquire about their approach to training Large Language Models and how they integrate agents with live tools. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
