At a Glance
- Tasks: Help train advanced AI systems and optimise real-world workflows.
- Company: Outlier, a leader in AI feedback and collaboration.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic remote environment with a focus on collaboration and innovation.
- Why this job: Join a team shaping the future of AI with innovative projects.
- Qualifications: 2+ years in backend engineering and 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.
- 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
ML Engineer (Remote) (Glasgow City) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Glasgow City. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a culture of creativity and teamwork. Our commitment to meaningful projects ensures that every team member contributes to shaping the future of AI, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Glasgow City)
✨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. This could be anything from GitHub repos to personal blogs explaining your thought process behind complex systems integration.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and system design principles. Practice common ML engineer interview questions and be ready to discuss how you've tackled multi-stage coordination tasks in your past work.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with LLMs and your ability to work in remote environments.
We think you need these skills to ace ML Engineer (Remote) (Glasgow City)
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 in your previous roles.
Be Specific About Your Tech Stack:When listing your programming languages, be clear about your proficiency in Python, JavaScript, Go, or Java. We love seeing candidates who can demonstrate their command of SQL databases too!
Share Real-World Examples:Don’t just tell us you can handle multi-turn system interactions; show us! Include examples from your past work where you’ve successfully managed these tasks in live environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 they’ll likely ask you about database interactions during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will make your skills stand out!
✨Understand AI Workflows
Since the role involves training AI agents, it’s crucial to understand multi-stage coordination tasks. Be ready to explain how you’ve designed workflows that lead to reasoned outputs, and don’t hesitate to share any relevant experiences.
✨Remote Work Readiness
As this is a remote position, be prepared to discuss how you manage your time and stay productive while working from home. Share any tools or strategies you use to maintain communication and collaboration with your team.
