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: Work in a collaborative environment with exciting projects and career advancement.
- Why this job: Join a dynamic team shaping the future of AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 40000 - 50000 € per year.
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.
QA Engineer (AI Applications) (Remote) (Liverpool) 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 that empowers QA Engineers to thrive. With a strong focus on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that shape the future of AI technology. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for passionate individuals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (Liverpool) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI applications. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with multi-stage coordination tasks and how you've tackled complex systems integration in the past.
✨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 love seeing candidates who take that extra step!
We think you need these skills to ace QA Engineer (AI Applications) (Remote) (Liverpool) in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and complex systems shine through. We want to see how your experience aligns with our mission to improve AI agents, so share specific examples of your work in this area!
Highlight Relevant Experience:Make sure to emphasise your 2+ years of experience in backend engineering or AI automation. We’re looking for candidates who can build and maintain production-grade software, so don’t hold back on showcasing your skills in modular separation and multi-turn interactions.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the QA Engineer role. Remember, we want to understand your journey and how it relates to our projects!
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 shows you’re keen on joining our team at StudySmarter!
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 they’ll likely ask you about database interactions 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 Goals
Familiarise yourself with Outlier’s mission to improve AI agents through human feedback. Think about how your skills can contribute to training Large Language Models and be ready to discuss your ideas on optimising workflows.
✨Prepare for Remote Work Questions
Since this is a remote position, be ready to discuss your experience with remote working. Share how you manage your time, communicate effectively, and stay productive while working from home.
