At a Glance
- Tasks: Shape the future of AI agents by providing human feedback and training advanced systems.
- Company: Join Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and work with top organisations.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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.
Ideal Qualifications
- 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.
- Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
Nice to have
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
AI Agent Developer (Contract, Remote) in Cambridge employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to be part of a team that is shaping the future of autonomous agents and enjoy the unique advantage of working with leading AI organisations.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Developer (Contract, Remote) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. Highlight your experience with languages like Python or JavaScript, and make sure to include any cool integrations you've done.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with complex systems integration and how you’ve tackled real-world problems. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s shape the future of AI together!
We think you need these skills to ace AI Agent Developer (Contract, Remote) in Cambridge
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. Don't hold back on showcasing your technical prowess!
Be Specific About Your Experience:When detailing your past projects, be specific about the languages you've used and the environments you've worked in. We love seeing concrete examples of your work with Python, JavaScript, or any other major languages. It helps us understand your fit for the role!
Attention to Detail is Key:We value outstanding attention to detail, so make sure your application is polished and free of errors. Clear, concise writing will help us see your ability to provide high-density technical feedback, which is crucial for this role.
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 keep track of it. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges. Think about specific instances where you designed workflows or optimised processes, and be ready to explain your thought process during the interview.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on system behaviours. You might want to prepare a few scenarios where you identified subtle issues in previous projects and how you addressed them.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are integrated with tools like Supabase or Gmail. Being able to discuss practical applications and your hands-on experience with APIs will show that you're not just theoretically knowledgeable but also ready to tackle real-world problems.
