At a Glance
- Tasks: 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: Flexible remote work, competitive pay, and opportunities to work on groundbreaking projects.
- Other info: Dynamic role with potential for growth in a fast-evolving field.
- Why this job: Be at the forefront of AI technology and make a real impact on autonomous systems.
- Qualifications: 2+ years in backend engineering or AI automation, strong coding skills, and attention to detail.
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.
Freelance AI Agent Engineer (Remote) in Swindon 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 empowers you to contribute meaningfully from anywhere, while our commitment to employee growth ensures you have access to continuous learning opportunities and cutting-edge projects. Join us to be part of a team that is shaping the future of autonomous agents, where your expertise will directly impact the development of advanced generative systems.
StudySmarter Expert Advice🤫
We think this is how you could land Freelance AI Agent Engineer (Remote) in Swindon
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. We love seeing real-world examples of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common coding challenges and system design questions relevant to backend engineering and AI. 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 by the right people. Plus, we’re always on the lookout for passionate individuals who want to shape the future of AI agents.
We think you need these skills to ace Freelance AI Agent Engineer (Remote) in Swindon
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 and maintained production-grade software, so don’t hold back on the details!
Be Specific About Your Experience:When you describe your past projects, focus on the specifics. Mention the languages you've used, the systems you've integrated, and any complex workflows you've managed. This helps us understand your expertise better.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that align with our project needs. We love seeing candidates who take the time to connect their background to what we do.
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’re considered for the role. Plus, it’s super easy!
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.
✨Be Ready for Technical Challenges
Expect to face some technical questions or even live coding challenges during the interview. Practise solving problems related to multi-turn interactions and data parsing, as these are crucial for the role. Don’t shy away from discussing how you’ve handled failures or bugs in past projects.
✨Communicate Clearly and Effectively
Since the role involves providing high-density technical feedback, practice articulating your thoughts clearly. Use examples to explain complex behaviours of systems you’ve worked on, and ensure you can convey your ideas in a straightforward manner that showcases your attention to detail.
