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 Exeter employer: Outlier
Outlier is an exceptional employer for AI Automation Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with leading AI organisations. Our culture prioritises continuous learning and professional growth, providing freelancers with the opportunity to work on cutting-edge projects that shape the future of autonomous agents. Join us to be part of a team that values your expertise and encourages you to push the boundaries of technology while enjoying the flexibility of freelance work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Exeter
✨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 open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. We love seeing real-world applications of your expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. We recommend practicing coding challenges and discussing your past experiences with multi-turn system interactions.
✨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 ready to shape the future of AI.
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) in Exeter
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 technical prowess.
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. Remember, we’re looking for outstanding attention to detail!
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 StudySmarter!
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 Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve optimised workflows or improved system interactions, as this will resonate well with the interviewers.
✨Be Ready for Technical Challenges
Expect some technical questions or even live coding challenges during the interview. Practise common algorithms and system design problems that relate to AI automation and backend engineering to show you can think on your feet.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, prepare to discuss how you ensure quality in your work. Bring examples of how you’ve provided clear technical feedback on complex behaviours or identified subtle failures in previous projects.
