At a Glance
- Tasks: Help train advanced AI systems and optimise real-world workflows.
- Company: Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work options, competitive salary, and opportunities for growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join a team shaping the future of AI with cutting-edge technology.
- 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) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Southampton. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a culture of creativity and teamwork. Join us to be part of a forward-thinking team dedicated to shaping the future of AI through meaningful projects and impactful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or relevant forums. A friendly chat can sometimes lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving complex systems integration or AI automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. Practice solving problems related to multi-turn system interactions to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about working with us on cutting-edge AI projects.
We think you need these skills to ace ML Engineer (Remote)
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, so don’t hold back!
Be Specific About Your Experience:When you describe your past projects, be specific about the technologies you used, especially the programming languages like Python or JavaScript. We love seeing concrete examples of your work with SQL databases too!
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 for us to receive your application and ensures you don’t miss out on any important updates from 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 they’ll likely ask you about database interactions and how you handle data.
✨Showcase Your Experience
Prepare to discuss your past projects that involved backend engineering or AI automation. Be ready to explain how you built production-grade software and the challenges you faced while integrating complex systems.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission of improving AI agents through human feedback. Think about how your skills can contribute to training Large Language Models and be prepared to share your thoughts on multi-step agent workflows.
✨Ask Insightful Questions
Prepare a few questions that show your interest in the role and the company. Ask about their current projects, the technologies they use, or how they measure success in their AI initiatives. This shows you’re engaged and eager to learn more.
