At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative autonomous agents.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- 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 career.
- Why this job: Make a real impact on advanced generative systems and enhance your skills.
- 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 Preston 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 empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to be part of a team that is shaping the future of autonomous agents and enjoy the flexibility and support that comes with working in a forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Tools Engineer (Freelance, Remote) in Preston
✨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 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 or backend engineering. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI automation and complex systems integration. Practise explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure to tailor your application to highlight your experience with multi-stage coordination tasks and real-world problem-solving.
We think you need these skills to ace AI Tools Engineer (Freelance, Remote) in Preston
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. Don't hold back on showcasing your command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and technical prowess.
Tailor Your Application:Take a moment to customise your application for this role. Mention how your skills align with our focus on training advanced generative systems. A tailored application shows us you're genuinely interested in the position and understand what we do.
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’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 be asked about your experience with databases and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on system behaviours. You might be asked to analyse a scenario or code snippet, so being precise and thorough will set you apart.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated into live tools like Supabase or Gmail. Be prepared to discuss any hands-on experience you have with these tools and how they relate to solving real-world problems, as this will show your practical understanding of the field.
