At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Join a passionate team and make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills in Python or JavaScript.
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. 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 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.
Python Engineer (Remote) (Leicester) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering remote work flexibility that allows you to thrive from the comfort of your home in Leicester. With a strong focus on employee growth, we provide opportunities to work on cutting-edge projects that shape the future of autonomous agents, fostering a culture of continuous learning and development. Join us to be part of a dynamic team where your contributions directly impact the advancement of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Python Engineer (Remote) (Leicester)
✨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 building innovative solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences with backend engineering and 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 noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s shape the future of AI together!
We think you need these skills to ace Python Engineer (Remote) (Leicester)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration in your previous roles.
Be Specific About Your Experience:When detailing your qualifications, be specific about the languages you've worked with, like Python or JavaScript. We love seeing concrete examples of how you've used these skills in real-world projects.
Attention to Detail is Key:We value outstanding attention to detail, so make sure your application is free from typos and clearly structured. This reflects your ability to provide clear technical feedback on 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 this exciting opportunity to shape the future of autonomous agents.
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other languages mentioned in the job description. Brush up on your SQL skills too, as they’ll likely ask you about database interactions. Being able to discuss your experience with backend engineering and AI automation will show you’re a strong fit.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will help demonstrate your capabilities and problem-solving skills.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in AI and autonomous agents. Knowing their projects, like OpenClaw, will allow you to align your answers with their goals. This shows genuine interest and helps you connect your skills to their needs.
✨Prepare for Technical Questions
Expect questions that dive deep into your technical knowledge, especially around multi-turn system interactions and handling live environments. Practise explaining complex concepts clearly, as they’ll be looking for your ability to provide high-density feedback on system behaviours.
