At a Glance
- Tasks: Shape the future of AI by training advanced autonomous agents like OpenClaw.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting challenges and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € 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 Engineer (Remote) (Manchester) in Stretford 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 allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our engineers can thrive in their roles. With a focus on meaningful projects that shape the future of autonomous agents, we offer a unique environment where your contributions directly impact cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Engineer (Remote) (Manchester) in Stretford
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend engineering or AI automation. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing coding challenges and system design questions relevant to the role of an OpenClaw Engineer.
✨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 ready to shape the future of AI.
We think you need these skills to ace OpenClaw Engineer (Remote) (Manchester) in Stretford
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and autonomous agents shine through. We love seeing candidates who are genuinely excited about shaping the future of technology!
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. Use specific examples that demonstrate your skills in building production-grade software and working with complex systems.
Be Clear and Concise:We appreciate clarity! When detailing your technical skills and experiences, keep it straightforward and to the point. Avoid jargon unless it's necessary, and make sure your application is easy to read.
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 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 Go, and how you've used them in real-world projects. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific instances where you built production-grade software or handled multi-turn system interactions. This will demonstrate your ability to think critically and solve problems under pressure.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on SQL databases and be prepared to explain how you've integrated agents with live tools like Supabase or Gmail. Practising common technical questions can help you feel more confident and articulate your thought process clearly.
✨Highlight Attention to Detail
Since the role requires outstanding attention to detail, be prepared to discuss how you've provided clear, high-density technical feedback in previous roles. Share examples of how your meticulous nature has led to successful project outcomes, especially in identifying subtle failures or optimising workflows.
