At a Glance
- Tasks: Help 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: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a fast-paced environment.
- Why this job: Make a real impact on cutting-edge AI technology and work with top industry experts.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 45000 - 55000 € 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.
OpenClaw Agent Builder (Remote) (Manchester) in Stretford employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, especially for our remote team in Manchester. We offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge AI projects that shape the future of technology. Join us to be part of a dynamic environment where your contributions directly impact the development of advanced generative systems.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Agent Builder (Remote) (Manchester) in Stretford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to backend engineering or AI automation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled complex systems integration. Practice common interview questions to boost your confidence!
✨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 OpenClaw Agent Builder (Remote) (Manchester) in Stretford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the OpenClaw Agent Builder role. Highlight your experience in backend engineering and any relevant projects that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you’ve used them! Provide examples of how you've built production-grade software and handled multi-turn system interactions in real-world environments.
Be Clear and Concise:We love attention to detail, so make sure your application is clear and concise. Avoid jargon where possible and focus on delivering high-density technical feedback that demonstrates your understanding of complex system behaviours.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
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 about your experience with databases and how you’ve used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Think of scenarios where you had to design workflows or optimise processes, and be ready to explain your thought process and the outcomes.
✨Demonstrate Attention to Detail
Since the role requires providing clear technical feedback, practice articulating your thoughts on system behaviours. You might be asked to analyse a scenario or code snippet, so being precise and thorough in your explanations will set you apart.
✨Familiarise Yourself with Real-World Applications
Research how autonomous agents are currently being used in various industries. Be prepared to discuss how you would integrate these agents with live tools like Supabase or Gmail, and think about potential challenges you might face in real-world applications.
