At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on 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 a team that influences cutting-edge AI technology and makes a real-world impact.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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 Red Team Engineer (Remote) (Cambridge) in London employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Red Team 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 remote-first approach ensures flexibility and work-life balance. Join us in making a meaningful impact on the world of AI, where your contributions will be valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land AI Red Team Engineer (Remote) (Cambridge) in London
✨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 backend engineering or AI automation. 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 the interview like it’s a big game! Research Outlier and our projects, and think about how your experience aligns with our goals. We want to see your passion for shaping the future of autonomous agents, so come ready to share your ideas!
✨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 talent that can help us train the world’s most advanced generative systems.
We think you need these skills to ace AI Red Team Engineer (Remote) (Cambridge) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Red Team 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 love seeing practical 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 the best chance of being noticed. It’s super easy, and you’ll be able to provide all the necessary information in one go. Plus, we love seeing applicants who take the initiative!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you might be asked to solve problems on the spot.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission and the role of AI agents in real-world applications. Being able to discuss how you can contribute to training advanced generative systems will show your genuine interest in the position.
✨Prepare for Technical Questions
Expect questions about multi-turn system interactions and how you handle subtle failures. Think through scenarios where you’ve identified issues like privacy leaks or authority escalation, and be ready to explain your thought process.