At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative agents.
- Company: Join Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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) (Manchester) in Stretford employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Safety Engineers to thrive in a remote setting from Manchester. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that shape the future of AI technology. Our commitment to meaningful work and a supportive environment makes Outlier a standout choice for those looking to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Safety Engineer (Remote) (Manchester) in Stretford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with autonomous agents. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. If you’ve built anything that demonstrates your ability to handle complex systems, make sure it’s front and centre when you’re chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions related to AI and backend development. We recommend using platforms like LeetCode or HackerRank to get in the zone!
✨Tip Number 4
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 are genuinely interested in joining our mission to improve AI agents. Don’t miss out on the chance to be part of something big!
We think you need these skills to ace AI Safety Engineer (Remote) (Manchester) in Stretford
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 showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or Java in real-world applications, especially in live environments. We love seeing practical experience!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you articulate your thoughts on complex system behaviours without unnecessary jargon.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 a problem on the spot or discuss your past experiences with databases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions effectively.
✨Demonstrate Attention to Detail
Since the role requires outstanding attention to detail, be ready to explain how you ensure quality in your work. You might want to share instances where your meticulousness helped identify subtle failures or improved system performance.
✨Familiarise Yourself with Real-World Applications
Research how Outlier collaborates with leading AI organisations and be prepared to discuss how you can contribute to training advanced generative systems. Understanding their projects will show your genuine interest and help you connect your skills to their needs.
