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 Lancaster 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 Evaluation Engineer (Remote) in Lancaster
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or JavaScript, and how you've tackled real-world problems. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your relevant experience and passion for shaping the future of AI agents.
We think you need these skills to ace AI Evaluation Engineer (Remote) in Lancaster
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 want to see how your experience aligns with our mission to improve AI systems, so share specific examples of your work that demonstrate your passion and expertise.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the AI Evaluation Engineer role. Highlight your relevant experience in backend engineering and complex systems integration, and don’t forget to mention the programming languages you’re proficient in. We love seeing how you fit into our team!
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that clearly outlines your skills and experiences, making it easy for us to see why you’d be a great fit.
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 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 brush up on your backend engineering skills and the programming languages mentioned in the job description. Be ready to discuss your experience with Python, JavaScript, or any other relevant language, and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex systems you've integrated or automated. Highlight specific challenges you faced and how you overcame them, especially in live environments. This will demonstrate your ability to handle multi-turn system interactions effectively.
✨Be Detail-Oriented
Since attention to detail is crucial for this role, practice articulating your thought process when providing technical feedback. Think of instances where your keen eye caught subtle issues, like privacy leaks or authority escalations, and be ready to share those stories.
✨Familiarise Yourself with Real-World Applications
Research how AI agents are currently being used in various industries. Understanding practical applications, like integrating with tools such as Supabase or Gmail, will help you connect your experience to the company's goals and show your enthusiasm for the role.
