At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- 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 role with opportunities for growth and hands-on experience with live tools.
- Why this job: Make a real impact in the AI field while working with top-tier organisations.
- 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 Agent Builder (Freelance, Remote) in Manchester employer: Outlier
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a remote freelance role, you can enjoy the flexibility of working from anywhere while collaborating with leading AI organisations on cutting-edge projects. Our inclusive work culture fosters innovation and creativity, providing ample opportunities for professional growth and the chance to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Builder (Freelance, Remote) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend engineering. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your past experiences in detail. Confidence is key!
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Agent Builder (Freelance, Remote) in Manchester
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!
Be Clear and Concise:When writing your application, clarity is key! We appreciate straightforward communication, so avoid jargon and keep your sentences to the point. This will help us understand your qualifications without getting lost in technical details.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to our project. Mention how your skills align with the role of AI Agent Builder and why you’re excited about shaping the future of autonomous agents with us.
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
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 or AI automation. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your ability to think critically and adapt.
✨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be prepared to discuss how you ensure quality in your work. Bring examples of how you've provided clear technical feedback on system behaviours or how you've identified subtle failures in past projects.
✨Familiarise Yourself with Real-World Applications
Understand how AI agents interact with live tools and APIs. If you have experience integrating agents with platforms like Supabase or Gmail, be ready to share those experiences. This will show that you can apply your skills to solve real-world problems effectively.