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 challenges 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, with strong coding skills.
The predicted salary is between 50000 - 70000 € 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.
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 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) (Nottingham) in London employer: Outlier AI
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 commitment to remote work ensures a flexible and balanced lifestyle. Join us in making a meaningful impact on the world of AI, where your expertise will be valued and your contributions will drive real change.
StudySmarter Expert Advice🤫
We think this is how you could land AI Red Team Engineer (Remote) (Nottingham) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, 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 automation or backend engineering. 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 coding challenges and be ready to discuss your past projects in detail — we want to see your thought process!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Outlier.
We think you need these skills to ace AI Red Team Engineer (Remote) (Nottingham) 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 skills; demonstrate them! Use specific examples from your past work to show how you’ve built production-grade software and handled multi-turn system interactions. This will help us see your practical experience in action.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about shaping the future of autonomous agents and how your background aligns with our mission at Outlier. Keep it engaging and personal, so we get a sense of who you are.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Outlier AI
✨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 demonstrate your knowledge of databases during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Be ready to discuss specific projects where you’ve built production-grade software and how you approached multi-turn system interactions.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in improving AI agents. Knowing about their projects, like OpenClaw, will help you align your answers with their goals and show that you’re genuinely interested in contributing to their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. This not only shows your enthusiasm but also helps you gauge if the company culture is a good fit for you. Think about asking how they handle privacy concerns or what tools they use for agent integration.
