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 - 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) (Manchester) in London employer: Outlier AI
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 in Manchester. With a strong emphasis on employee growth, we provide opportunities to work on cutting-edge projects alongside leading AI organisations, ensuring that your contributions have a meaningful impact on the development of advanced generative systems. Our commitment to flexibility and remote working options makes us an attractive choice for those seeking a rewarding career in AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer (Remote) (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI systems. Practice explaining your thought process clearly, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Evaluation Engineer (Remote) (Manchester) in London
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.
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 and how your background aligns with our mission at StudySmarter. Be genuine and let your personality come through!
Showcase Your Technical Skills:We want to see your technical prowess! Make sure to mention your command of programming languages like Python or JavaScript, and any hands-on experience you have with SQL databases. Specific examples of your work can really make you stand out.
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 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 expertise!
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the specifics of AI evaluation. Knowing how they improve AI agents will help you align your answers with their goals. Think about how your experience can contribute to shaping the future of autonomous agents.
✨Prepare for Technical Questions
Expect questions that dive deep into your experience with backend engineering and multi-turn system interactions. Practice explaining your thought process clearly and concisely, as this will demonstrate your attention to detail and ability to provide high-density feedback.
✨Show Your Problem-Solving Skills
Be ready to discuss real-world problems you've solved using AI tools or APIs. Highlight any experience with integrating agents and handling data acquisition. This will showcase your practical experience and ability to think critically under pressure.
