At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative companies.
- Company: Join Outlier, a leader in AI development with a focus on collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your skills.
- 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. 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 Evaluation Engineer (Remote) (Leicester) 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 while providing ample opportunities for professional growth and development, ensuring that our team members can thrive both personally and professionally. Join us in Leicester to be part of a forward-thinking company that values your expertise and encourages you to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer (Remote) (Leicester)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or backend engineering. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've tackled.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We recommend practising coding challenges and discussing your past experiences with multi-turn system interactions. Being able to articulate your thought process is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI.
We think you need these skills to ace AI Evaluation Engineer (Remote) (Leicester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for the role. Don’t forget to mention specific projects or technologies you've worked with that relate to our work at Outlier.
Showcase Your Technical Skills:Since we’re looking for someone with strong programming skills, make sure to include relevant projects or experiences that demonstrate your command of languages like Python or JavaScript. If you've built anything related to multi-turn system interactions, definitely highlight that!
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 don’t miss out on any important updates. Plus, it shows us you’re keen on 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 how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you built production-grade software and how you approached multi-turn system interactions.
✨Be Detail-Oriented
Highlight your attention to detail by discussing how you provide technical feedback on system behaviours. Bring up any experiences where your meticulousness helped identify issues like privacy leaks or authority escalation.
✨Familiarise Yourself with Real-World Applications
Since the role involves integrating agents with live tools, it’s a good idea to research tools like Supabase and Gmail. Be prepared to discuss how you would use these tools to solve real-world problems and improve AI agents.
