👋 About the Team
Under the slogan “AI Everywhere,” the QA Team is dedicated to ensuring the highest level of quality for Nota’s AI-powered products across diverse domains such as industry, transportation, and safety.
To ensure that vision-based AI technologies are reliably deployed in real-world environments, we go beyond basic functional testing. Our team defines and validates both quantitative and qualitative quality standards, establishing a systematic and trustworthy QA framework.
We foster a horizontal and open work culture, where team members are encouraged to freely share ideas and challenge existing practices. Guided by Nota’s core value of Curiosity, we continuously experiment with new and more effective validation methodologies. By questioning repetitive tests and collaboratively exploring improvements, we strive to maximize the reliability and credibility of our product validation processes.
📌 What You’ll Do at This Position
In this role, you will work based on established QA processes and validation methodologies while actively contributing to their evolution.
- Propose and apply creative testing ideas tailored specifically for AI products
- Freely suggest improvements to functionality and UI/UX from a customer-centric perspective
- Lead quality improvement initiatives through a deep understanding of the product
- Play a key role in enhancing product completeness under our leadership principles of “Be Proactive, Over Deliver”
You will also have the opportunity to co-build QA processes while expanding your domain expertise across areas such as industrial safety and Intelligent Transportation Systems (ITS).
✅ Key Responsibilities
- Perform functional and performance testing for AI-based products
- Create test cases, execute tests, and document results
- Review product planning documents and suggest usability improvements during validation
- Manage QA processes and deliverables (Test Plans, Test Cases, Test Reports, etc.)
- Track, reproduce, and resolve issues in collaboration with developers
- Develop and maintain automated test scripts
✅ Requirements
- 3–5+ years of experience in software testing or quality assurance
- End-to-end QA experience covering planning, release, and maintenance for multiple apps or web services
- Basic Python programming skills and experience using AI tools to create automated test scripts
- Willingness to conduct field testing and customer acceptance tests, including on-site visits
- No restrictions on overseas travel
✅ Pluses
- Hands-on experience with automated testing tools such as Selenium, Playwright, or similar frameworks
- QA experience with AI-based products (e.g., LLMs, VLMs, Computer Vision systems)
✅ Hiring Process
- Document Screening → 1st Interview → 2nd Interview & Assignment → 3rd Interview
(Additional assignments may be included during the process.)
🤓 A Message from the Team
We aim to set a new standard for AI Quality Assurance.
While we respect traditional validation approaches, we continuously experiment and evolve to discover better ways to test and verify AI products. As AI technology rapidly advances, we believe QA must be just as flexible and creative.
In our team, ideas are valued regardless of title or years of experience. Many of our current validation methods and processes originated from open discussions and proactive suggestions, giving team members a real sense of ownership in shaping our direction.
Here, you’ll experience a culture where “working with highly capable colleagues is the greatest benefit.” We respect individual ownership while providing an environment that encourages proactive collaboration and growth.
If you want to elevate the quality of AI products and bring creativity into the concept of validation, we invite you to start your journey with the Nota QA Team.
Please Check Before Applying! 👀
- This job posting is open continuously, and it may close early upon completion of the hiring process.
- Resumes that include sensitive personal information, such as salary details, may be excluded from the review process.
- Providing false information in the submitted materials may result in the cancellation of the application.
- Please be aware that references will be checked before finalizing the hiring decision.
- Compensation will be discussed separately upon successful completion of the final interview.
- There will be a probationary period after joining, and there will be no discrimination in the treatment during this period.
- To support the employment of persons with disabilities, you may optionally submit a copy of your disability registration certificate under “Additional Documents,” if administrative verification is required. Submission is optional and does not affect the evaluation process.
- Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.
🔎 Helpful materials
👋 About the Team
Under the slogan “AI Everywhere,” the QA Team is dedicated to ensuring the highest level of quality for Nota’s AI-powered products across diverse domains such as industry, transportation, and safety.
To ensure that vision-based AI technologies are reliably deployed in real-world environments, we go beyond basic functional testing. Our team defines and validates both quantitative and qualitative quality standards, establishing a systematic and trustworthy QA framework.
We foster a horizontal and open work culture, where team members are encouraged to freely share ideas and challenge existing practices. Guided by Nota’s core value of Curiosity, we continuously experiment with new and more effective validation methodologies. By questioning repetitive tests and collaboratively exploring improvements, we strive to maximize the reliability and credibility of our product validation processes.
📌 What You’ll Do at This Position
In this role, you will work based on established QA processes and validation methodologies while actively contributing to their evolution.
- Propose and apply creative testing ideas tailored specifically for AI products
- Freely suggest improvements to functionality and UI/UX from a customer-centric perspective
- Lead quality improvement initiatives through a deep understanding of the product
- Play a key role in enhancing product completeness under our leadership principles of “Be Proactive, Over Deliver”
You will also have the opportunity to co-build QA processes while expanding your domain expertise across areas such as industrial safety and Intelligent Transportation Systems (ITS).
✅ Key Responsibilities
- Perform functional and performance testing for AI-based products
- Create test cases, execute tests, and document results
- Review product planning documents and suggest usability improvements during validation
- Manage QA processes and deliverables (Test Plans, Test Cases, Test Reports, etc.)
- Track, reproduce, and resolve issues in collaboration with developers
- Develop and maintain automated test scripts
✅ Requirements
- 3–5+ years of experience in software testing or quality assurance
- End-to-end QA experience covering planning, release, and maintenance for multiple apps or web services
- Basic Python programming skills and experience using AI tools to create automated test scripts
- Willingness to conduct field testing and customer acceptance tests, including on-site visits
- No restrictions on overseas travel
✅ Pluses
- Hands-on experience with automated testing tools such as Selenium, Playwright, or similar frameworks
- QA experience with AI-based products (e.g., LLMs, VLMs, Computer Vision systems)
✅ Hiring Process
- Document Screening → 1st Interview → 2nd Interview & Assignment → 3rd Interview
(Additional assignments may be included during the process.)
🤓 A Message from the Team
We aim to set a new standard for AI Quality Assurance.
While we respect traditional validation approaches, we continuously experiment and evolve to discover better ways to test and verify AI products. As AI technology rapidly advances, we believe QA must be just as flexible and creative.
In our team, ideas are valued regardless of title or years of experience. Many of our current validation methods and processes originated from open discussions and proactive suggestions, giving team members a real sense of ownership in shaping our direction.
Here, you’ll experience a culture where “working with highly capable colleagues is the greatest benefit.” We respect individual ownership while providing an environment that encourages proactive collaboration and growth.
If you want to elevate the quality of AI products and bring creativity into the concept of validation, we invite you to start your journey with the Nota QA Team.
Please Check Before Applying! 👀
- This job posting is open continuously, and it may close early upon completion of the hiring process.
- Resumes that include sensitive personal information, such as salary details, may be excluded from the review process.
- Providing false information in the submitted materials may result in the cancellation of the application.
- Please be aware that references will be checked before finalizing the hiring decision.
- Compensation will be discussed separately upon successful completion of the final interview.
- There will be a probationary period after joining, and there will be no discrimination in the treatment during this period.
- To support the employment of persons with disabilities, you may optionally submit a copy of your disability registration certificate under “Additional Documents,” if administrative verification is required. Submission is optional and does not affect the evaluation process.
- Veterans and individuals with disabilities will receive preferential treatment in accordance with relevant regulations.