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 flexibility, remote work, 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: Make a real impact in AI 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 Leeds employer: Outlier AI
Outlier is an exceptional employer for those passionate about shaping the future of AI technology. With a remote freelance role, you can enjoy the flexibility of working from anywhere while collaborating with leading AI organisations on innovative projects. Our inclusive work culture fosters continuous learning and growth, providing opportunities to enhance your skills in backend engineering and complex systems integration, all while contributing to groundbreaking advancements in autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Builder (Freelance, Remote) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, attend meetups or webinars, and don’t be shy about sharing your expertise. You never know who might have a lead on that perfect freelance gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate how you can build and maintain production-grade software.
✨Tip Number 3
Tailor your approach! When reaching out to potential clients or companies, make sure to highlight your experience with multi-turn system interactions and complex systems integration. Let them know you’re the orchestration guru they need!
✨Tip Number 4
Apply through our website! We love seeing applications directly from our platform. It shows you're keen and ready to jump into shaping the future of autonomous agents with us. Don’t miss out on that opportunity!
We think you need these skills to ace AI Agent Builder (Freelance, Remote) in Leeds
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, so don’t hold back!
Be Specific:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love a good story about how you solved a tricky problem or optimised a workflow.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the AI Agent Builder role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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 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.
✨Get Familiar with Real-World Applications
Since the role involves working with live environments and multi-turn interactions, be ready to discuss your practical experiences. Think of examples where you've built production-grade software and how you handled real-time data processing or system interactions.
✨Attention to Detail is Key
The job requires a keen eye for detail, especially when providing technical feedback. Prepare to explain how you've ensured quality in your past work, perhaps by discussing your methods for testing and validating complex system behaviours before deployment.
