Contract Agent Engineer - AI (Remote) in Cambridge

Contract Agent Engineer - AI (Remote) in Cambridge

Cambridge Full-Time 50000 - 70000 € / year (est.) Home office possible
Outlier

At a Glance

  • Tasks: Shape the future of AI by improving autonomous agents with your expertise.
  • Company: Join Outlier, a leader in AI innovation and collaboration.
  • Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for growth.
  • Other info: Dynamic team environment focused on innovative solutions and career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects that shape tomorrow's 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.

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.

Contract Agent Engineer - AI (Remote) in Cambridge employer: Outlier

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 thrive in a flexible environment while contributing to groundbreaking projects that shape the future of autonomous agents. With a strong focus on employee growth, we offer opportunities for continuous learning and development, ensuring that you can advance your career while making a meaningful impact in the world of AI.

Outlier

Contact Detail:

Outlier Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Contract Agent Engineer - AI (Remote) in Cambridge

Tip Number 1

Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. 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 AI automation or complex systems. This gives us a tangible way to see what you can do.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We love candidates who can think on their feet and tackle real-world challenges.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals ready to shape the future of AI.

We think you need these skills to ace Contract Agent Engineer - AI (Remote) in Cambridge

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

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:When detailing your past projects, be specific about the technologies you used and the challenges you faced. We love seeing clear examples of your work with languages like Python or JavaScript, and how you’ve handled multi-turn interactions.

Attention to Detail is Key:We’re looking for candidates who can provide high-density technical feedback. Make sure your application is free from typos and clearly structured, as this reflects your attention to detail and professionalism.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Outlier

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 built production-grade software and how you approached multi-turn system interactions.

Be Detail-Oriented

Highlight your attention to detail by discussing how you provide technical feedback on system behaviours. Bring up any experiences where your meticulousness helped identify issues like privacy leaks or authority escalation.

Familiarise Yourself with Real-World Applications

Since the role involves integrating agents with live tools, it’s a good idea to research how these integrations work. Be prepared to discuss any hands-on experience you have with APIs or tools like Supabase and how they can solve real-world problems.