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: 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. Do you want to shape the future of autonomous agents like OpenClaw? 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.
Agentic AI Engineer (Freelance, Remote) (Leeds) employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field, particularly as an Agentic AI Engineer. With a remote work culture that promotes flexibility and innovation, employees are encouraged to collaborate with leading AI organisations while enjoying opportunities for professional growth and development. The chance to work on cutting-edge projects in Leeds, combined with a supportive environment that values technical expertise and creativity, makes Outlier a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer (Freelance, Remote) (Leeds)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on freelance gigs or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your projects! Create a portfolio showcasing your work with AI agents and complex systems. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Tailor your pitch! When reaching out to potential clients or companies, customise your message to highlight how your experience aligns with their needs. Make it clear why you're the perfect fit for their projects.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. Don’t miss out on the chance to join us in shaping the future of autonomous agents—your next big project could be just a click away!
We think you need these skills to ace Agentic AI Engineer (Freelance, Remote) (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 seeing clear examples of your work with languages like Python or JavaScript, especially in live environments.
Attention to Detail is Key:We’re all about precision here at StudySmarter. Make sure your application is free from typos and clearly structured. This shows us that you have the outstanding attention to detail we’re looking for!
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.
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'll likely need to demonstrate your ability to work with databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations, as this will show you can hit the ground running.
✨Demonstrate Problem-Solving Skills
Think of scenarios where you've tackled real-world problems using AI agents or similar technologies. Be prepared to explain your thought process and how you approached these challenges, especially in terms of multi-turn interactions and coordination tasks.
✨Ask Insightful Questions
Don’t forget to prepare some thoughtful questions about the projects at Outlier. This shows your genuine interest in their work and gives you a chance to assess if the role aligns with your career goals. Ask about their approach to training LLMs or how they handle feedback integration.
