At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative companies.
- Company: Join a cutting-edge team focused on training advanced AI systems.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on exciting, real-world projects.
- Why this job: Make a real impact in the world of autonomous agents and AI technology.
- 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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
AI Safety Engineer (Remote) (Bristol) 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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive both personally and professionally. Join us in Bristol to be part of a forward-thinking company that values your expertise and encourages you to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Safety Engineer (Remote) (Bristol)
✨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 land you that dream job.
✨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 interviews by brushing up on your technical knowledge. We recommend practising coding challenges and system design questions relevant to AI safety and backend development. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
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 passionate individuals who want to shape the future of AI with us.
We think you need these skills to ace AI Safety Engineer (Remote) (Bristol)
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI and autonomous agents shine through. We love seeing candidates who are genuinely excited about shaping the future of technology, so share your thoughts on how you can contribute to our mission!
Highlight Relevant Experience:Make sure to showcase your experience in backend engineering or AI automation clearly. Use specific examples from your past work that demonstrate your skills in building production-grade software and handling complex systems integration. We want to see what you've done!
Be Clear and Concise:While we appreciate detail, clarity is key! Make your application easy to read by using straightforward language and breaking down complex ideas. This will help us understand your thought process and technical feedback better.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you're serious about joining our team!
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 solve real-world problems using these technologies during the interview.
✨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, as this will resonate well with the interviewers.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the specifics of their projects, like training Large Language Models. Being able to discuss how your skills can contribute to shaping autonomous agents will show your genuine interest and alignment with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company’s future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Think about asking how they handle multi-turn system interactions or what challenges they face in AI safety.
