At a Glance
- Tasks: Help train advanced AI systems and optimise real-world workflows.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Dynamic team environment with exciting projects and career advancement.
- Why this job: Make a real impact on the future of AI 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.
GenAI 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 Manchester. 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 that values your expertise and encourages you to push the boundaries of generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This is your chance to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly, as communication is key in remote roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace GenAI 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:Take a moment to tailor your application to our project focus. Mention any experience you have with training Large Language Models or working on multi-turn system interactions. It’ll make your application stand out!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better. We can’t wait to see what you bring to the table!
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 architectural workflows. Familiarise yourself with multi-stage coordination tasks and be ready to explain how you’ve handled data acquisition leading to reasoned outputs in past projects.
✨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 collaborate effectively with teams in a virtual environment.
