Middle General QA

• Possessing 3+ years of dedicated professional experience in quality assurance and automation engineering, demonstrating a strong track record of successful project contributions.
• Demonstrated advanced proficiency in Quality Assurance methodologies and practices, ensuring high standards of software reliability and performance.
• Possessing intermediate hands-on experience in QA Automation, including the design, development, and maintenance of automated test suites for web applications and REST APIs.
• Strong working knowledge and intermediate-level experience with Python programming for scripting, test automation, and data analysis.
• A foundational understanding and beginner-level exposure to Artificial Intelligence concepts, including LLM output evaluation, with an eagerness to explore its applications in QA.

Familiarity with Amazon Web Services at a beginner level, particularly Lambda, SQS, RDS and CloudWatch in the context of test environments or automation pipelines.

Experience testing applications with Japanese-language content or interfaces is a plus.

• Define and own the evaluation framework for AI features, including transcription accuracy, summary quality and needs categorization metrics
• Validate real-time Japanese speech-to-text in live consultation sessions, covering streaming stability, speaker separation and handling of background noise
• Build a ground truth data set together with the client domain experts and use it