At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- 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 Engineer (Remote) (Belfast) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing AI Engineers to work remotely from Belfast while contributing to groundbreaking projects in AI development. With a strong emphasis on employee growth, Outlier offers opportunities for professional advancement and skill enhancement, making it an ideal place for those passionate about shaping the future of autonomous agents. The company's commitment to meaningful work and cutting-edge technology ensures that employees are engaged and valued in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote) (Belfast)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field 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 AI and backend engineering. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common coding challenges and system design questions 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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer (Remote) (Belfast)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you built production-grade software or worked with LLMs. This helps us understand your hands-on experience better.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to get to know you without sifting through fluff!
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. Plus, it gives you a chance to explore more about StudySmarter and what we do!
How to prepare for a job interview at Employer near you
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in the languages mentioned like Python or JavaScript. Be ready to discuss your past projects and how you've tackled complex systems integration. This is your chance to show off your expertise!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've solved real-world problems using AI automation or backend engineering. Think about specific challenges you've faced and how you approached them. This will demonstrate your ability to think critically and adaptively.
✨Understand the Company’s Vision
Familiarise yourself with Outlier's mission and the projects they’re working on, like OpenClaw. Showing that you understand their goals and how you can contribute will set you apart from other candidates. It’s all about aligning your passion with their vision!
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. This not only shows your interest but also helps you gauge if the company culture fits you. Ask about their approach to training LLMs or how they handle multi-turn interactions—this will impress them!
