At a Glance
- Tasks: Help train advanced AI systems and optimise real-world workflows.
- Company: Outlier, a leader in AI feedback collaboration.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic projects with innovative companies in a collaborative environment.
- Why this job: Join a team shaping the future of AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills.
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.
AI Application Engineer (Remote) (Oxford) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Oxford. 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 AI Application Engineer (Remote) (Oxford)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Application Engineer (Remote) (Oxford)
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 if you’ve worked with Python, JavaScript, or SQL databases. We love details that show us you know your stuff!
Tailor Your Application:Take a moment to tailor your application to our job description. Mention your experience with multi-stage coordination tasks and how you’ve handled real-world architectural workflows. 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. Don’t miss out on this opportunity!
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 Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to discuss how your skills can contribute to training advanced generative systems will show that you’re genuinely interested in the role.
✨Prepare for Problem-Solving Questions
Expect questions that test your problem-solving abilities, especially around multi-turn system interactions. Think through scenarios where you had to design workflows or coordinate tasks, and be ready to explain your thought process clearly.
