At a Glance
- Tasks: Shape the future of AI by training advanced generative systems with real-world applications.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Work in a fast-paced environment with exciting projects and career advancement.
- Why this job: Join a dynamic team and make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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 Safety Engineer (Remote) (Oxford) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a remote work environment that promotes flexibility and work-life balance. With a strong focus on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members can thrive while shaping the future of autonomous agents. Join us in Oxford to be part of a dynamic culture that values creativity and technical excellence, making a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Safety Engineer (Remote) (Oxford) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI automation or backend engineering. This gives potential employers a taste of what you can do beyond just words on a page.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios relevant to AI safety and complex systems integration. Practising with a friend can help you articulate your thoughts clearly.
✨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!
We think you need these skills to ace AI Safety Engineer (Remote) (Oxford) in London
Some tips for your application 🫡
Know Your Stuff:Make sure you read through the job description carefully. Highlight your relevant experience and skills that match what we're looking for, especially in backend engineering and AI automation. We want to see how you can contribute to shaping the future of autonomous agents!
Show Off Your Skills:When you're writing your application, don't hold back on showcasing your technical skills. Mention the programming languages you're proficient in and any hands-on experience you've had with SQL databases or integrating agents with live tools. This is your chance to shine!
Be Clear and Concise:We appreciate clarity! Make sure your application is well-structured and easy to read. Use bullet points if necessary to break down your experience and achievements. Remember, attention to detail is key, so proofread before hitting send!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team 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 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 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. Inquire about their approach to handling privacy leaks or authority escalation in AI systems. This not only shows your interest but also your understanding of the complexities involved in AI safety.
