At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising complex workflows.
- Company: Join Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential to influence the future of autonomous agents.
- Why this job: Make a real impact in AI development and work with cutting-edge technology.
- 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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
AI Red Team Engineer (Remote) in Wolverhampton employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Red Team Engineer (Remote) in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. 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 showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems in live environments. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and passion for shaping the future of AI agents.
We think you need these skills to ace AI Red Team Engineer (Remote) in Wolverhampton
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We want to see that you’re genuinely excited about shaping the future of technology and how your skills can contribute to our mission.
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. We’re looking for specific examples of how you’ve built production-grade software and tackled complex systems integration, so don’t hold back!
Be Clear and Concise:We appreciate clarity! When detailing your technical skills and experiences, keep it straightforward and to the point. Use bullet points if it helps, and make sure we can easily see how your background aligns with what we’re looking for.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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’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'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve optimised workflows or handled multi-turn interactions, as this will show your practical knowledge and ability to think critically.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems or system design scenarios that relate to AI automation and backend engineering. This will help you feel more confident and demonstrate your hands-on experience.
✨Communicate Clearly and Effectively
Since the role involves providing high-density technical feedback, practice articulating your thoughts clearly. Use examples from your past work to illustrate your points, and don’t hesitate to ask clarifying questions if you need more information during the interview.
