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 with strong coding skills.
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.
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.
- 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) (Glasgow City) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to contribute to groundbreaking AI projects from the comfort of their homes in Glasgow City. With a strong emphasis on employee growth, we offer opportunities for professional development and the chance to work alongside leading AI organisations, making a meaningful impact in the field of autonomous agents. Our commitment to flexibility and remote working ensures a healthy work-life balance, making Outlier a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (Glasgow City) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and QA space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI applications or complex systems. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Practice common QA scenarios and be ready to discuss how you’ve tackled challenges in past roles.
✨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) (Glasgow City) in London
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 AI agents. Mention specific experiences that align with our projects and how you can contribute to our mission.
Showcase 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. Don’t hold back on detailing your hands-on experience with live environments.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
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 solved real-world problems using AI automation or backend engineering. Think about specific challenges you've faced and how you approached them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Attention to Detail is Key
Since the role requires outstanding attention to detail, be prepared to discuss how you ensure quality in your work. Bring up instances where your meticulousness made a difference, whether it was catching a bug or optimising a workflow.
✨Engage with Their Vision
Familiarise yourself with Outlier's projects and their impact on AI agents. Show genuine interest in their mission to improve autonomous systems. Ask insightful questions about their work and how you can contribute to shaping the future of AI applications.
