At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Freelance flexibility, remote work, and the chance to work on cutting-edge projects.
- Other info: Dynamic role with opportunities to tackle real-world challenges and grow your expertise.
- Why this job: Join a team that’s redefining AI agents and make a real impact.
- 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.
AI Automation Engineer (Freelance, Remote) in Wolverhampton employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field. With a focus on innovative projects and collaboration with leading AI organisations, we offer a dynamic work culture that fosters creativity and growth. As a freelance AI Automation Engineer, you will have the flexibility to work remotely while contributing to cutting-edge technology that shapes the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Freelance, Remote) in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and automation space. Attend meetups, webinars, or online forums where you can chat with industry folks. You never know who might have a lead on a freelance gig!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving backend engineering or AI automation. Make sure to highlight any complex systems you've integrated. This will give potential clients a taste of what you can do.
✨Tip Number 3
Don’t just apply anywhere—apply through our website! We love seeing applications directly from candidates who are genuinely interested in shaping the future of AI. Tailor your application to show how your experience aligns with our projects.
✨Tip Number 4
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with multi-turn system interactions and how you've tackled real-world problems. Confidence and clarity in your responses can really set you apart!
We think you need these skills to ace AI Automation Engineer (Freelance, Remote) in Wolverhampton
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 technical details!
Tailor Your Application:Take a moment to customise your application for the role. Mention specific projects or experiences that align with our focus on training Large Language Models and working with multi-turn system interactions. It’ll make you stand out!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your past experiences and how they relate to the job. We appreciate high-density feedback, so get to the point while showcasing your attention to detail.
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 any important updates. Plus, it shows you’re keen on joining our team!
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'll likely be asked to demonstrate your understanding of databases and how they integrate with AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or built production-grade software. Highlight any experiences where you’ve optimised workflows or improved system interactions, as this will resonate well with the interviewers.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to articulate how your skills can contribute to shaping autonomous agents like OpenClaw will show that you’re genuinely interested and invested in their projects.
✨Prepare for Technical Feedback Scenarios
Since the role requires providing clear technical feedback, think about how you would approach giving constructive criticism on system behaviours. Be ready to discuss past experiences where you’ve had to analyse and provide insights on complex systems.
