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, flexible hours, and the chance to work on cutting-edge projects.
- Other info: Opportunity to work with top AI organisations and grow your career in tech.
- Why this job: Make a real impact in AI automation and enhance your skills in a dynamic environment.
- 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 Liverpool employer: Outlier AI
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 employee growth through challenging projects that shape the future of autonomous agents, while providing flexible freelance opportunities that allow you to balance your professional and personal life effectively.
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 backend engineering or AI automation. Make sure to highlight any complex systems you've integrated. This will give potential clients a taste of what you can do.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing candidates who are genuinely interested in working with us. Tailor your application to show how your experience aligns with our projects, especially in training LLMs and building modular software.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with SQL databases and multi-turn system interactions. Practice explaining complex concepts clearly, as communication is key in our field!
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, so don’t hold back on the details!
Be Specific About Your Experience:When you describe your past projects, focus on the technologies you used and the challenges you overcame. We love seeing clear examples of your work with languages like Python or JavaScript, especially in live environments.
Tailor Your Application:Take a moment to customise your application for this role. Mention how your skills align with our mission at Outlier and how you can contribute to shaping the future of autonomous agents. It shows us you’re genuinely interested!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
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 how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL databases and be prepared to explain how you've handled data parsing, logic processing, and reporting in your previous roles.
✨Highlight Attention to Detail
Since the role requires outstanding attention to detail, come equipped with examples that demonstrate your ability to provide clear, high-density technical feedback. Discuss any experiences where you identified subtle failures or optimised workflows.
