At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on groundbreaking projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges and grow your expertise.
- Why this job: Join us to make a real impact in the world of autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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) (Newcastle upon Tyne) employer: Outlier AI
Outlier is an exceptional employer for AI Automation Engineers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities to work on cutting-edge projects with leading AI organisations, ensuring that your contributions directly shape the future of autonomous agents. Our culture encourages creativity and technical excellence, making it a rewarding place for those passionate about advancing AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) (Newcastle upon Tyne)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or at local meetups. You never know who might have the inside scoop on freelance gigs or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your projects! Create a portfolio showcasing your work with AI automation and backend engineering. Highlight any complex systems you've built or contributed to, especially those that demonstrate your ability to handle multi-turn interactions.
✨Tip Number 3
Tailor your pitch! When reaching out to potential clients or companies, make sure to customise your message. Mention specific projects they've worked on that excite you and explain how your skills can help them achieve their goals.
✨Tip Number 4
Apply through our website! We love seeing applications directly from our site. It shows you're genuinely interested in working with us and makes it easier for us to find your details when we're reviewing candidates.
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) (Newcastle upon Tyne)
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 specific as possible. We love details! Talk about the challenges you faced, how you overcame them, and the impact of your work. This helps us understand your problem-solving skills and technical expertise.
Tailor Your Application:Take a moment to tailor your application to our project needs. Mention any experience you have with multi-turn system interactions or integrating agents with live tools. This shows us that you’re not just sending a generic application but are genuinely interested in what we do.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join 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 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 previous projects, especially those involving complex systems integration. Highlight how you approached these problems and the solutions you implemented, particularly in live environments.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, be prepared to discuss how you ensure accuracy in your work. Bring examples of how your attention to detail has positively impacted your projects, especially in terms of system behaviours and performance.
✨Familiarise Yourself with Real-World Applications
Understand how AI agents function in practical scenarios. Research tools like Supabase and APIs that are relevant to the role. Being able to discuss how you've integrated such tools in past projects will show your readiness to tackle real-world problems.
