At a Glance
- Tasks: Shape the future of AI by training advanced generative systems with human feedback.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to 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 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 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) (City of Edinburgh) in Livingston employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Safety Engineers to shape the future of autonomous agents from the comfort of their own homes in Edinburgh. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects with leading AI organisations. Our commitment to flexibility and a supportive environment makes Outlier a rewarding place to advance your career in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Safety Engineer (Remote) (City of Edinburgh) in Livingston
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨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 expertise, so make it pop!
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to complex systems integration. We recommend practicing coding challenges and discussing your thought process out loud to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI with us.
We think you need these skills to ace AI Safety Engineer (Remote) (City of Edinburgh) in Livingston
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Safety Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with our focus on AI automation and complex systems integration.
Showcase Your Skills:We want to see your command of programming languages like Python or JavaScript. Include specific examples of how you've used these skills in real-world environments, especially in building production-grade software.
Be Clear and Concise:When writing your cover letter, be clear and concise about why you're a great fit for this role. Use straightforward language to explain your experience with multi-turn system interactions and any hands-on work with APIs.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend engineering and AI automation. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration in the past. This is your chance to showcase your technical prowess!
✨Showcase Real-World Experience
Prepare examples from your previous roles where you've built production-grade software or handled live environments. Talk about specific projects where you integrated agents with tools like Supabase or Gmail, and how you solved real-world problems. Concrete examples will make you stand out!
✨Attention to Detail is Key
Highlight your ability to provide clear, high-density feedback on complex system behaviours. Discuss any experiences where your attention to detail helped identify subtle failures or improve system performance. This role requires a keen eye, so let them know you’ve got it!
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice explaining your thought process when tackling multi-turn system interactions or implementing persistent state tracking. Showing your problem-solving skills in action can really impress the interviewers!
