At a Glance
- Tasks: Help train advanced AI systems by providing human feedback and optimising workflows.
- Company: Outlier, a leader in AI collaboration with innovative companies.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote work environment with exciting projects and career advancement.
- Why this job: Join a cutting-edge team and shape the future of 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.
- 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) (Manchester) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility that allows you to thrive from the comfort of your home in Manchester. With a strong focus on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of AI, all while fostering a supportive and dynamic work culture that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Manchester)
✨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 orchestration and complex systems.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving backend engineering and AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling multi-turn system interactions.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills in Python, JavaScript, or Go. Be ready to discuss your experience with SQL databases and how you've tackled real-world challenges in your previous roles. Practice makes perfect!
✨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 multi-stage coordination tasks and your ability to optimise workflows.
We think you need these skills to ace ML Engineer (Remote) (Manchester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your backend engineering and AI automation experience, and don’t forget to showcase your proficiency in the programming languages we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about working with AI and how your background makes you a perfect fit for our team. Be sure to mention any relevant projects or experiences that align with what we do.
Showcase Your Projects:If you’ve worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to build production-grade software.
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. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
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 effective data acquisition and reasoning in your previous roles.
✨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.
