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 flexibility, remote work, 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.
- 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.
Locations
AI Automation Engineer (Freelance, Remote) in Devon, Plymouth employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a remote freelance role, you can enjoy the flexibility of working from anywhere while collaborating with top-tier AI organisations on cutting-edge projects. Our inclusive work culture fosters innovation and personal growth, providing opportunities to enhance your skills and contribute to the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Devon, Plymouth
✨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 Devon, Plymouth
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 working with multi-turn system interactions. It’ll make you stand out!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your past experiences and how they relate to the job. We appreciate high-density feedback, so get to the point while showcasing your attention to detail.
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 don’t miss any important updates. Plus, it shows you’re keen on joining our team!
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 languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with Real-World Applications
Since the role involves integrating agents with live tools, it’s a good idea to have some hands-on experience or at least knowledge about platforms like Supabase or Gmail. Be ready to discuss how you’ve solved real-world problems using these tools, as this will highlight your practical experience.
✨Attention to Detail is Key
During the interview, make sure to emphasise your attention to detail, especially when discussing complex system behaviours. Prepare to talk about how you've identified subtle failures in previous projects, such as privacy leaks or authority escalation, to showcase your thoroughness and analytical skills.
