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 remote work, flexible hours, and the chance to work on cutting-edge projects.
- Other info: Dynamic freelance role with opportunities for growth and learning in AI.
- Why this job: Join a team that’s redefining AI agents and make a real impact in technology.
- 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 Tools Engineer (Freelance, Remote) in Leicester employer: Outlier
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a focus on innovation and collaboration, we offer a dynamic remote work culture that fosters creativity and professional growth. Our commitment to employee development and the opportunity to work on cutting-edge projects with leading AI organisations makes us an attractive choice for talented individuals seeking meaningful freelance opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tools Engineer (Freelance, Remote) in Leicester
✨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 sliding into DMs. 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 skills! Create a portfolio showcasing your projects, especially those involving AI tools or backend engineering. Make sure to highlight any complex systems you've worked on, as this will catch the eye of potential clients looking for expertise.
✨Tip Number 3
Tailor your pitch! When reaching out to companies like Outlier, make sure to customise your message to reflect their needs. Mention your experience with LLMs and how you can help improve their AI agents — it shows you’ve done your homework and are genuinely interested.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from our platform. It not only streamlines the process but also gives us a better chance to see your skills in action. So, don’t hesitate — hit that apply button!
We think you need these skills to ace AI Tools Engineer (Freelance, Remote) in Leicester
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 languages you've used and the environments you've worked in. We love seeing practical examples of your work with Python, JavaScript, or any other major languages.
Attention to Detail is Key:We’re looking for candidates who can provide clear technical feedback. Make sure your application is free from typos and clearly structured, as this reflects your attention to detail and professionalism.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Outlier
✨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 be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve optimised workflows or improved system interactions, as this will resonate well with the interviewers.
✨Be Ready for Technical Challenges
Expect some technical questions or even live coding challenges during the interview. Practise solving problems related to multi-turn interactions and data parsing, as these are crucial for the role. Don’t hesitate to explain your thought process while solving them.
✨Demonstrate Attention to Detail
Since the role requires a keen eye for detail, prepare to discuss how you ensure quality in your work. Bring examples of how you’ve provided clear technical feedback on complex behaviours or identified subtle failures in previous projects.
