At a Glance
- Tasks: Help improve AI agents by providing human feedback and training advanced generative systems.
- Company: Outlier, a leader in AI collaboration with innovative companies.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with a focus on real-world applications.
- Why this job: Join a cutting-edge team and shape the future of 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.
- 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
AI Evaluation Engineer (Remote) (Cambridge) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from the comfort of your home. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while working alongside industry leaders, fostering a culture of continuous learning and development. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact in shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Evaluation Engineer (Remote) (Cambridge) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software development communities. Join relevant online forums, attend virtual meetups, and connect with people on LinkedIn. 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 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 multi-turn system interactions. Practice common interview questions related to AI and software development.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about our projects. Tailor your application to highlight your experience with LLMs and complex workflows, and let us know why you're the perfect fit!
We think you need these skills to ace AI Evaluation Engineer (Remote) (Cambridge) in London
Some tips for your application 🫡
Show Your Passion for AI:Let us see your enthusiasm for AI and how it drives you. Share any personal projects or experiences that highlight your interest in AI evaluation and automation. This will help us understand why you're a great fit for our team!
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with our needs, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Highlight your key achievements and skills without overwhelming us with too much information.
Apply Through Our Website:We encourage you 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 makes the whole process smoother for everyone involved!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Stack
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 demonstrate your understanding of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex systems integration.
✨Understand the Project Goals
Familiarise yourself with Outlier's mission and the types of projects they undertake. Being able to discuss how your skills can contribute to training advanced generative systems will show your genuine interest in the role.
✨Practice Multi-Turn Interactions
Since the role involves handling multi-turn system interactions, consider preparing scenarios where you’ve successfully managed complex workflows. This will demonstrate your ability to think critically and coordinate tasks effectively.
