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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
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. 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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
AI Evaluation Engineer (Remote) (Oxford) in Cowley employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Evaluation Engineers to contribute meaningfully to cutting-edge projects from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI, while our remote work flexibility ensures a healthy work-life balance. Join us in shaping the future of autonomous agents and enjoy the unique advantage of working with leading AI organisations in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer (Remote) (Oxford) in Cowley
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and backend engineering. We love seeing what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI evaluation. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 candidates like you!
We think you need these skills to ace AI Evaluation Engineer (Remote) (Oxford) in Cowley
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 relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world scenarios, especially in live environments. This will help us see your practical experience.
Be Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate high-density technical feedback, so make sure your explanations are easy to understand while still being detailed.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex system integrations or AI automation challenges in the past. Think about specific projects where you had to design workflows or optimise processes, and be ready to explain your thought process.
✨Attention to Detail is Key
Since this role requires providing high-density technical feedback, practice articulating your thoughts clearly. You might be asked to analyse a system's behaviour, so being able to pinpoint issues like privacy leaks or authority escalation will impress them.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with tools like Supabase and Gmail. Being able to discuss real-world applications and your hands-on experience with APIs will show that you’re not just theoretical but practical too!
