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) (Coventry) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture allows for flexibility and autonomy, empowering our freelance AI Automation Engineers to contribute meaningfully while enjoying a healthy work-life balance. With opportunities for professional growth and the chance to work on cutting-edge projects with leading AI organisations, joining our team means being at the forefront of shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) (Coventry)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that freelance gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We want to see how you’ve tackled complex systems integration and what you can bring to the table.
✨Tip Number 3
Tailor your pitch! When reaching out to potential clients or companies, make sure to highlight your experience with the specific technologies they use, like Python or SQL databases. We need to show them you’re the perfect fit for their needs.
✨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. We’re excited to see how you can contribute to shaping the future of autonomous agents!
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) (Coventry)
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, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that align with our focus on training Large Language Models and working with multi-step agents. It’ll make you stand out!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your technical skills and experiences. We appreciate high-density feedback, so get straight 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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Outlier AI
✨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 might be asked to solve a problem on the spot or discuss your past experiences with databases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight your experience with multi-turn interactions and how you’ve optimised workflows in previous projects.
✨Be Ready for Technical Questions
Expect questions that dive deep into your understanding of AI automation and backend engineering. They might ask about your approach to identifying failures or how you handle data privacy issues, so have some scenarios ready to illustrate your thought process.
✨Demonstrate Attention to Detail
Since the role requires high-density technical feedback, be prepared to discuss how you ensure quality in your work. Bring examples of how you’ve provided constructive feedback on complex systems and how it improved the overall project outcomes.
