QA Automation Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Automation Engineer based in Australia.

This role focuses on ensuring the quality and reliability of mobile-driven notification systems through structured testing and real-world usage scenarios.
You will participate in hands-on QA activities involving modern mobile applications running on Android devices.
The position emphasizes accuracy, attention to detail, and consistent daily execution of test workflows over a defined period.
You will work with notification-heavy environments to validate sorting, behavior tracking, and system responsiveness.
The role is fully remote and designed for professionals comfortable using mobile-first testing setups.
It offers exposure to experimental AI-driven product development and emerging mobile technologies.
It is a short-term, project-based engagement with potential consideration for future assignments based on performance.

Accountabilities:

• Execute structured QA testing workflows focused on mobile notification systems and app behavior validation.
• Use Android-based devices (Google Pixel 9 or newer) to simulate real-world user interactions and test notification handling.
• Perform daily test activities, including notification sorting, organization, and documentation of observed behavior.
• Submit consistent daily QA reports and feedback forms to support tracking and product improvement.
• Identify, document, and escalate technical issues or inconsistencies encountered during testing.
• Follow detailed test instructions and ensure high accuracy, completeness, and compliance with QA standards.
• Maintain confidentiality and adhere to project guidelines throughout the engagement period.

Requirements:

• Native or expert-level proficiency in American English (en_us).
• Experience or strong familiarity with QA testing, mobile application testing, or structured task execution environments.
• Must own and actively use a qualifying Google Pixel device (Pixel 9 or newer models).
• Comfortable installing and using mobile applications that generate frequent notifications.
• Ability to perform consistent daily tasks for 14 consecutive days (10–15 minutes per day).
• Reliable internet connection and strong attention to detail.
• Willingness to complete a language and/or task-based assessment during the application process.
• Ability to follow structured instructions and maintain high-quality output in a remote setup.

Benefits:

• One-time compensation of USD $225 upon successful completion of the 14-day testing period.
• Fully remote, flexible participation with minimal daily time commitment.
• Hands-on experience with mobile QA processes and emerging AI-driven notification systems.
• Opportunity to participate in experimental product testing initiatives.
• Potential eligibility for future project-based QA and testing assignments based on performance.
• Exposure to structured QA workflows used in global data and technology projects.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.