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 Belfast employer: Outlier
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, all within a supportive environment that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving complex systems integration or AI automation. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.
✨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 relevant to AI automation. Confidence is key!
✨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’re always on the lookout for passionate individuals who want to shape the future of AI agents.
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) in Belfast
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 showcasing your command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as detailed as possible. We love to see clear examples of how you’ve handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and technical prowess.
Attention to Detail is Key:We’re looking for candidates who can provide high-density technical feedback. Make sure your application is free from typos and clearly structured. This reflects your attention to detail, which is crucial for the role!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations, as this will show you can hit the ground running.
✨Demonstrate Problem-Solving Skills
Expect questions that test your ability to identify and solve subtle failures in systems. Think of scenarios where you’ve had to troubleshoot issues like privacy leaks or authority escalation, and explain your thought process clearly.
✨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 LLMs or how they handle multi-turn interactions. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
