At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on groundbreaking projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges and grow your expertise.
- Why this job: Join a team that’s redefining AI agents and make a real impact in tech.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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.
AI Tools Engineer (Freelance, Remote) (Leeds) employer: Outlier AI
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 allows for flexibility and autonomy, empowering you to contribute meaningfully from anywhere while working alongside some of the brightest minds in the industry. With a strong focus on professional development and cutting-edge projects, you'll have ample opportunities to grow your skills and make a significant impact on the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tools Engineer (Freelance, Remote) (Leeds)
✨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 tools and backend engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with complex systems integration and automation.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight your experience with LLMs and multi-step agent coordination.
We think you need these skills to ace AI Tools 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 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 Tools Engineer 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 Go, and how you've used them in real-world projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex systems integration or AI automation challenges. Think about a time when you had to optimise a workflow or troubleshoot a multi-turn interaction. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨Highlight Attention to Detail
Since the role requires providing clear technical feedback, be ready to discuss how you ensure accuracy in your work. Bring examples of how your attention to detail has led to successful outcomes in past projects, especially in identifying subtle failures or improving system behaviours.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with live tools like Supabase or Gmail. Being able to discuss these integrations and their implications will show that you understand the practical side of AI development and can contribute to solving real-world problems effectively.
