At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Join us to make a real impact on cutting-edge AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
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.
AI Automation Engineer (Remote) in Newport-On-Tay 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 promotes flexibility and inclusivity, allowing you to thrive while contributing to groundbreaking projects that shape the future of autonomous agents. With ample opportunities for professional growth and a commitment to employee well-being, joining our team means becoming part of a forward-thinking community dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer (Remote) in Newport-On-Tay
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and automation space on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. We love seeing real-world applications of your work, so make sure to highlight any complex systems you've tackled.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. We recommend practising coding challenges and system design questions relevant to AI automation. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
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 AI Automation Engineer (Remote) in Newport-On-Tay
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 production-grade software and tackled complex systems integration. Don't hold back on showcasing your command of programming languages like Python or Java!
Be Specific:When describing your past projects, be as specific as possible. We love details! Talk about the challenges you faced, how you overcame them, and the impact your work had. This helps us understand your problem-solving skills and technical expertise.
Tailor Your Application:Take a moment to tailor your application to our project needs. Mention any experience you have with multi-stage coordination tasks or integrating agents with live tools. This shows us that you’re not just sending a generic application but are genuinely interested in what we do.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy to do!
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 might be asked to solve real-world problems using these technologies during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to discuss how your skills can contribute to shaping the future of autonomous agents will show your genuine interest in the role and the company.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about multi-turn system interactions and data handling. Be ready to explain your thought process when identifying subtle failures or implementing persistent state, as these are crucial for the role.
