QA Tester

*Volunteer | Profit-Sharing Model *

About Us

German for Girls in Tech is a mission-driven initiative that helps women and girls across Africa who are skilled in tech build German language ability and connect with job opportunities in Germany and other German-speaking regions.

We are building a practical, scalable learning product and need someone who can help turn the idea into a working AI-powered experience.

Role Overview

We’re looking for a detail-oriented QA Tester with a strong analytical mindset, a practical approach to problem-solving, and an interest in testing digital products, particularly AI-powered applications.

You will be responsible for testing the platform, identifying bugs and inconsistencies, checking AI-generated responses, and ensuring that features work as expected from the user's perspective.

This role is ideal for someone who enjoys finding issues, investigating unexpected behaviour, and helping improve a product through structured testing and feedback.

This is a high-ownership role with profit-sharing potential, best suited for someone who wants to contribute to a meaningful initiative and help shape the quality of an early-stage AI-powered product.

Key Responsibilities

• Functional Testing
• AI Testing
• Bug Reporting and Documentation
• Quality Improvement

What We’re Looking For

• Experience in software testing, QA, or a similar role.
• Understanding of functional testing and bug reporting.
• Strong attention to detail and analytical thinking.
• Ability to identify issues, investigate unexpected behaviour, and communicate findings clearly.
• Comfortable testing web applications and AI-powered features.
• Familiarity with bug-tracking or project management tools.
• Independent, proactive, and comfortable working in an early-stage environment.
• Interested in education, language learning, or social impact.

What’s In It for You

• Experience in an early-stage AI product.
• Profit-sharing opportunity tied to the success of the initiative.
• Remote and flexible collaboration.
• Real ownership in shaping the product’s AI layer.
• The chance to build something meaningful with measurable impact.