QA Engineer (AI Applications) (Remote) (Cambridge)

QA Engineer (AI Applications) (Remote) (Cambridge)

Part-Time 50000 - 70000 € / year (est.) No home office possible
Outlier AI

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 in AI.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 50000 - 70000 € 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.
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 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) (Cambridge) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing QA Engineers to contribute meaningfully to 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 in a dynamic environment while enjoying the flexibility of remote work. Join us in shaping advanced generative systems and be part of a team that values your expertise and creativity.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land QA Engineer (AI Applications) (Remote) (Cambridge)

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 interviews by brushing up on common QA scenarios and technical questions. Practise explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.

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) (Cambridge)

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the QA Engineer role. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!

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 past work that relate to the job description, and let us know why you want to join StudySmarter.

Showcase Your Technical Skills:Since we're looking for someone with a strong command of programming languages, make sure to mention your proficiency in Python, JavaScript, or any other relevant languages. If you've worked with SQL databases, don't forget to include that too!

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 us you’re keen on joining the StudySmarter 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 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.

Understand the Company’s Vision

Familiarise yourself with Outlier's mission and the projects they’re involved in, like training Large Language Models. 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. Inquire about their current projects or challenges they face in AI applications. This not only shows your interest but also helps you gauge if the company is the right fit for you.