At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on cutting-edge projects.
- Other info: Dynamic freelance role with opportunities for growth and collaboration.
- Why this job: Make a real impact in AI automation and enhance your skills with top-tier technology.
- 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 Salford 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.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Salford
✨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 complex systems integration or AI automation. We love seeing real-world examples 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 relevant to AI automation roles.
✨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 Salford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Automation Engineer. 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 built production-grade software or worked with major programming languages like Python or JavaScript. This helps us understand your hands-on experience.
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 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 interact with tools like Supabase and Gmail. If you have experience integrating APIs or building multi-stage coordination tasks, be ready to share those experiences. This will show your practical knowledge and readiness to tackle real-world problems.
