At a Glance
- Tasks: Shape the future of AI by providing human feedback to innovative agents.
- Company: Outlier, a leader in AI collaboration and development.
- 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 40000 - 50000 € 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.
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) 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 own homes in Belfast. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that impact the world’s leading AI organisations. Join us to be part of a team that values your expertise and encourages you to push the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI applications or complex systems. This gives potential employers a taste of what you can do beyond just words on a page.
✨Tip Number 3
Prepare for interviews by brushing up on common QA scenarios and technical questions related to AI. Practising with a friend or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨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 are proactive about their job search!
We think you need these skills to ace QA Engineer (AI Applications) (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the QA Engineer role. Highlight your experience with backend engineering and AI automation, and don’t forget to mention any relevant projects that showcase your skills in building production-grade software.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about shaping the future of autonomous agents. Share specific examples of your work with complex systems and how you’ve contributed to similar projects in the past.
Show Off Your Technical Skills:We want to see your technical prowess! Be sure to list the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. Mention any hands-on experience with integrating agents and live tools too!
Apply Through Our Website:Don’t forget to apply 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 serious about joining our team at StudySmarter!
How to prepare for a job interview at Outlier AI
✨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!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've handled real-world problems in your previous roles. Think about specific instances where you identified failures or optimised workflows. This will demonstrate your ability to think critically and provide valuable feedback on system behaviours.
✨Understand the Company’s Vision
Familiarise yourself with Outlier's mission and the projects they’re involved in, especially around AI agents. Showing that you understand their goals and how you can contribute will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. This not only shows your interest but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation during the interview.
