At a Glance
- Tasks: Shape the future of AI by providing human feedback to improve autonomous agents.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join us to train advanced generative systems and make a real impact.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 45000 - 55000 β¬ 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 β 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
QA Engineer (AI Applications) (Remote) (Brighton) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to shape the future of AI applications from the comfort of their homes in Brighton. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that impact the AI landscape. Our commitment to flexibility and remote work ensures a healthy work-life balance, making Outlier a rewarding place to advance your career in technology.
StudySmarter Expert Adviceπ€«
We think this is how you could land QA Engineer (AI Applications) (Remote) (Brighton) in London
β¨Tip Number 1
Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI applications or complex systems. This will give potential employers a taste of what you can do.
β¨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and technical questions related to AI. Practice explaining your thought process clearly, as communication is key in this field.
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Brighton) in London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV is tailored to the QA Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that align with AI automation or complex systems integration.
Showcase Your Skills:We want to see your technical skills shine! Be sure to mention your proficiency in at least two major programming languages and your experience with SQL databases. Specific examples of your work can really make you stand out.
Detail Your Experience:When describing your past roles, focus on your hands-on experience with live environments and multi-turn system interactions. We love seeing how you've tackled real-world problems and what solutions you've implemented.
Apply Through Our Website:Don't forget to apply through our website! Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, it gives you a chance to explore more about what we do!
How to prepare for a job interview at Outlier AI
β¨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in the languages mentioned like Python or JavaScript. Be ready to discuss your past projects and how you've tackled complex systems integration. This is your chance to show off your expertise!
β¨Showcase Your Problem-Solving Skills
Prepare examples of how you've handled real-world challenges in AI automation or backend engineering. Think about specific instances where you identified subtle failures or optimised workflows. This will demonstrate your practical experience and attention to detail.
β¨Understand the Companyβs Vision
Familiarise yourself with Outlier's mission and their work with AI agents. Being able to articulate how your skills align with their goals will set you apart. Show them that you're not just looking for a job, but that you're genuinely interested in shaping the future of autonomous agents.
β¨Ask Insightful Questions
Prepare thoughtful questions about the role and the projects you'll be working on. This shows your enthusiasm and helps you gauge if the company is the right fit for you. Ask about their approach to training LLMs or how they handle multi-turn interactions.