At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Other info: Dynamic team environment focused on solving real-world challenges.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- Qualifications: 2+ years in backend engineering or AI automation with strong coding skills.
The predicted salary is between 50000 - 60000 € per year.
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.
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) in Eastbourne 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 promotes flexibility and work-life balance, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and the chance to shape cutting-edge technology. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact on the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer (Remote) in Eastbourne
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work with autonomous agents. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to backend engineering or AI automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. It’s a great way to stand out from the crowd.
We think you need these skills to ace AI Evaluation Engineer (Remote) in Eastbourne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Evaluation Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience and technical prowess.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. Remember, we’re looking for outstanding attention to detail!
Apply Through Our Website:Don’t forget to apply 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 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 examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and provide high-density technical feedback.
✨Familiarise Yourself with Real-World Applications
Since the role involves working with live tools like Supabase and Gmail, it’s a good idea to have some hands-on experience or at least knowledge of these platforms. Be ready to discuss how you’ve integrated agents with APIs to solve real-world problems, as this will highlight your practical experience.
✨Attention to Detail is Key
During the interview, make sure to emphasise your attention to detail. Discuss how you’ve identified subtle failures in previous projects, such as privacy leaks or authority escalation. This will show that you understand the importance of precision in AI evaluation and are capable of providing valuable feedback on complex system behaviours.
