At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Freelance flexibility, competitive pay, and the chance to work on groundbreaking projects.
- Other info: Dynamic remote role with opportunities for professional growth and skill enhancement.
- Why this job: Make a real impact in AI while working with cutting-edge technology and top-tier organisations.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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. Do you want to shape the future of autonomous agents like OpenClaw? 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 Automation Engineer (Freelance, Remote) (Cambridge) employer: Outlier AI
Outlier is an exceptional employer for AI Automation Engineers, offering a unique opportunity to work remotely while contributing to groundbreaking projects that shape the future of autonomous agents. With a strong emphasis on collaboration and innovation, employees benefit from a supportive work culture that fosters professional growth and encourages the exploration of complex systems integration. Join us in Cambridge to be part of a dynamic team that values your expertise and creativity in advancing AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We love seeing real-world applications of your work, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common coding challenges and system design questions relevant to AI automation. Confidence is key!
✨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’re always on the lookout for passionate individuals who want to shape the future of AI with us.
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) (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 those programming languages you know!
Be Specific:When describing your past projects, be as detailed as possible. We love seeing clear examples of how you've handled multi-turn system interactions or integrated agents with live tools. Specifics help us understand your thought process and expertise.
Tailor Your Application:Take a moment to customise your application for this role. Mention how your skills align with our focus on training advanced generative systems. A tailored application shows us you're genuinely interested in the position and understand what we do.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
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 you might be asked to demonstrate your knowledge of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the projects they’re working on. Being able to discuss how your skills can contribute to training advanced generative systems will show your genuine interest and alignment with their goals.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and attention to detail. Practice explaining complex system behaviours clearly, as this is crucial for providing high-density feedback on AI agents.
