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.
- 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.
ML Engineer (Remote) in Aberdeen employer: Outlier AI
Outlier is an exceptional employer for ML Engineers, offering a dynamic remote work environment that fosters innovation and collaboration with leading AI organisations. Our culture prioritises employee growth through continuous learning opportunities and hands-on experience with cutting-edge technologies, making it an ideal place for those passionate about shaping the future of autonomous agents. Join us to be part of a team that values your expertise and encourages you to push the boundaries of AI development.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with backend engineering and AI automation. Make sure to include any cool stuff you've built with Python, JavaScript, or other languages – this is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences in detail. Practice explaining complex concepts clearly, as communication is key when working with advanced systems.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about our projects. Tailor your application to highlight how your skills align with what we're doing at Outlier – it’ll make you stand out!
We think you need these skills to ace ML Engineer (Remote) in Aberdeen
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love a good story about how you solved a tricky problem or optimised a workflow.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the ML Engineer role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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 need to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Be ready to explain your thought process and the steps you took to achieve a successful outcome.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the specific projects they’re working on, like OpenClaw. This will help you align your answers with their objectives and demonstrate your genuine interest in contributing to their success.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about multi-turn system interactions and modular software design. Practise articulating your experiences clearly and concisely, focusing on the details that showcase your attention to detail and technical feedback abilities.
