At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Join a cutting-edge company at the forefront of AI innovation.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to tackle real-world challenges and enhance your tech skills.
- Why this job: Make a real impact on advanced generative systems and collaborate with top AI organisations.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills in major languages.
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.
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 Evaluation Engineer (Remote) in Dundee employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a remote team, we offer flexible working arrangements, competitive benefits, and ample opportunities for professional growth in the rapidly evolving field of AI. Join us to make a meaningful impact on the future of autonomous agents while enjoying a supportive environment that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer (Remote) in Dundee
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software 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 applications of your expertise, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI. We recommend practicing coding challenges and discussing your past experiences with multi-turn system interactions to impress your interviewers.
✨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 with us.
We think you need these skills to ace AI Evaluation Engineer (Remote) in Dundee
Some tips for your application 🫡
Show Your Passion for AI: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, so share your experiences and what drives you in this field!
Highlight Relevant Experience:Make sure to emphasise your background in backend engineering or AI automation. We want to see how your skills align with our needs, so don’t hold back on detailing your experience with languages like Python or Java, and any projects that showcase your ability to build production-grade software.
Be Clear and Concise:We appreciate clarity! When describing your past work or technical feedback, keep it straightforward and to the point. Use bullet points if necessary to make your achievements stand out, and ensure 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. Plus, it gives you a chance to explore more about what we do at StudySmarter!
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 need to demonstrate your ability to work with databases during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex systems integration or AI automation challenges. Think about how you’ve built production-grade software and be ready to explain your thought process and the outcomes.
✨Understand the Project's Goals
Familiarise yourself with Outlier’s mission and the projects they’re working on, like OpenClaw. Being able to articulate how your skills can contribute to shaping autonomous agents will show your genuine interest and alignment with their goals.
✨Prepare for Technical Feedback Scenarios
Since the role involves providing high-density technical feedback, practice articulating your thoughts clearly. You might be asked to evaluate a system's behaviour, so think about how you would approach giving constructive feedback on complex interactions.
