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, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team 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 60000 - 80000 € 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.
Applied AI Engineer (Remote) in Blackburn employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the field of AI. With a remote work culture that promotes flexibility and collaboration, employees are encouraged to innovate and grow their skills while working on cutting-edge projects with leading AI organisations. The company values continuous learning and offers ample opportunities for professional development, making it an ideal place for passionate individuals eager to shape the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer (Remote) in Blackburn
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. This is your chance to demonstrate your expertise in Python, JavaScript, or any other languages you’re comfortable with.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with building production-grade software. We want to see how you tackle real-world problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your application to highlight your experience with multi-turn system interactions and your attention to detail. Let’s get you on board!
We think you need these skills to ace Applied AI Engineer (Remote) in Blackburn
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration. Don't hold back on showcasing your command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and technical prowess.
Tailor Your Application:Take a moment to customise your application for the Applied AI Engineer role. Mention how your skills align with our focus on training Large Language Models and improving AI agents. A tailored application shows us you're genuinely interested in the position!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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'll likely be asked about your experience with databases during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your role in complex systems integration and how you tackled challenges, especially in live environments. Real-world examples will make your experience stand out.
✨Understand AI and Automation
Familiarise yourself with concepts around AI agents and automation. Be ready to discuss how you’ve contributed to training models or integrating agents with tools like Supabase or Gmail. This shows your passion for the field and your ability to apply your skills practically.
✨Attention to Detail is Key
Demonstrate your attention to detail by preparing to give clear, high-density feedback on technical issues you've encountered in past projects. Discuss how you identified and resolved subtle failures, as this will show your analytical skills and thoroughness.
