At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement opportunities.
- Why this job: Join us to train advanced generative systems and make a real impact.
- 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 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: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Evaluation Engineers to shape the future of autonomous agents from the comfort of their own homes. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development in cutting-edge AI technologies, while our commitment to meaningful projects ensures that your contributions have a real-world impact. Join us in Oxford and be part of a team that values creativity, technical excellence, and the pursuit of groundbreaking solutions.
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, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just 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. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI systems. Practising with a friend or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨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 love seeing candidates who take that extra step to connect with us directly.
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 applications, especially in live environments. We want to see your hands-on experience!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share your thoughts on the importance of human feedback in AI and how you can contribute to our mission at Outlier.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in the languages mentioned like Python or JavaScript. Be ready to discuss your past projects and how you've tackled complex systems integration. This is your chance to show off your backend engineering chops!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved real-world problems using AI automation or multi-turn system interactions. Think about specific challenges you've faced and how you approached them. This will demonstrate your practical experience and ability to think critically.
✨Be Ready for Technical Feedback
Since the role involves providing clear technical feedback, practice articulating your thoughts on complex system behaviours. You might be asked to critique a system or suggest improvements, so being clear and concise is key. Show that you can communicate effectively!
✨Understand the Company’s Vision
Familiarise yourself with Outlier's projects and their approach to training AI agents. Knowing their goals and how you can contribute will help you stand out. It shows you're genuinely interested and ready to be part of shaping the future of autonomous agents.
