At a Glance
- Tasks: Shape the future of AI by developing and optimising autonomous agents.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
- Other info: Dynamic team environment with exciting challenges and career advancement.
- Why this job: Make a real impact on cutting-edge AI projects and technologies.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
The predicted salary is between 50000 - 70000 € per year.
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.
- 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
OpenClaw Python Engineer (Remote) (London) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to contribute to cutting-edge AI projects from the comfort of your home in London. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that you can enhance your skills while working on meaningful challenges that shape the future of autonomous agents. Join us to be part of a dynamic team that values your expertise and creativity in a supportive remote environment.
StudySmarter Expert Advice🤫
We think this is how you could land OpenClaw Python Engineer (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or complex systems integration. This is your chance to demonstrate your expertise and passion for the field, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice coding challenges and be ready to discuss your past experiences in detail. 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. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace OpenClaw Python Engineer (Remote) (London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the OpenClaw Python Engineer 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:In 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 or handled multi-turn system interactions. We love seeing real-world applications of your expertise.
Be Clear and Concise:When writing your cover letter or application, keep it clear and to the point. We appreciate outstanding attention to detail, so make sure your writing reflects that. Avoid jargon unless it's necessary, and focus on communicating your ideas effectively.
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s the easiest way for us to track your application and ensure it gets into the right hands. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages mentioned in the job description, especially Python. Brush up on your SQL skills too, as they’ll likely ask you about database interactions and how you’ve used them in past projects.
✨Showcase Your Experience
Prepare to discuss specific examples from your previous work that demonstrate your ability to build and maintain production-grade software. Highlight any complex systems you've integrated or automated, as this will show you understand the intricacies of backend engineering.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission and the role of OpenClaw in shaping AI agents. Being able to articulate how your skills can contribute to their goals will set you apart and show your genuine interest in the position.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and attention to detail. Practice explaining your thought process clearly, especially when discussing complex system behaviours or potential failures you’ve encountered in the past.
