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 opportunities.
- 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 50000 - 60000 € per year.
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? 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 using 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) employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to play a pivotal role in shaping the future of AI applications from the comfort of their own homes. With a strong emphasis on employee growth, Outlier offers opportunities to work alongside leading AI organisations, enhancing your skills while contributing to groundbreaking projects. The remote nature of this role provides flexibility and work-life balance, making it an ideal choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer (AI Applications) (Remote) (Brighton)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with AI applications. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to backend engineering or AI automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your past experiences in detail.
✨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) (Brighton)
Some tips for your application 🫡
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 applications. We want to see how your skills fit into our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to shaping the future of autonomous agents. We love hearing about your journey and what excites you about this role.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We’re looking for someone who can build and maintain production-grade software, so let us know how you’ve done this in the past!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
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 challenges in AI automation or backend engineering. Think about specific instances where you identified subtle failures or optimised workflows. This will demonstrate your ability to think critically and provide valuable feedback.
✨Understand the Company’s Vision
Familiarise yourself with Outlier's mission and the projects they’re involved in. Knowing how they train AI agents and improve LLMs will help you align your answers with their goals, showing that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about their current projects or challenges they face in AI applications. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
