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 with a focus on collaboration.
- Benefits: Freelance remote work with flexible hours and opportunities for impactful projects.
- Other info: Dynamic projects with potential for personal growth and skill enhancement.
- Why this job: Be at the forefront of AI technology and make a real difference in autonomous agents.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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 Liverpool employer: Outlier
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 empowers you to thrive in a flexible environment while contributing to groundbreaking projects that shape the future of autonomous agents. With opportunities for professional growth and the chance to work alongside industry leaders, joining our team means being part of a mission-driven organisation dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and automation space. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have a lead on a freelance gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving complex systems integration or AI automation. Make sure to highlight any experience with LLMs or multi-turn interactions — this will catch the eye of potential clients.
✨Tip Number 3
Don’t just apply anywhere; apply smart! Use our website to find freelance opportunities that match your skills. Tailor your approach for each application, focusing on how your experience aligns with the project needs.
✨Tip Number 4
Follow up after applying! A quick message to express your enthusiasm can set you apart from the crowd. It shows you're genuinely interested and proactive, which is exactly what companies like Outlier are looking for.
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) in Liverpool
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. Use specific examples to demonstrate your expertise!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We love seeing how your unique skills align with our needs, so make it personal and relevant.
Be Clear and Concise:When writing your application, clarity is key. We appreciate straightforward communication, so avoid jargon and keep your explanations simple. This will help us understand your thought process and technical feedback better.
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 and quick!
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 to face some technical questions or even live coding challenges during the interview. Practise coding problems related to multi-turn interactions and data parsing, as these are crucial for the role. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Demonstrate Attention to Detail
During the interview, pay close attention to the questions being asked and provide clear, concise answers. If discussing past projects, focus on the details that showcase your ability to identify subtle failures and provide high-density feedback on system behaviours.
