[Technical Operations] QA Engineer Intern (Fixed-Term)
Job group
R&D
Experience Level
Entry Level
Job Types
Intern
Locations
Nota서울특별시 강남구 테헤란로 521, 파르나스타워 16층 Nota

👋 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 build on already established testing processes and validation methods to propose and apply creative quality assurance ideas tailored to AI products.

You will be encouraged to freely suggest improvements to product functionality and UI/UX from a customer-centric perspective, and take initiative in driving product quality forward based on a deep understanding of the product itself. Guided by our leadership principles, Be Proactive and Over Deliver, you will play a key role in raising the overall level of product completeness and quality.

This position will also offer the opportunity to broaden your domain expertise in areas such as industrial safety and ITS powered by Vision AI.




✅ Key Responsibilities

  • Design and write test cases based on an understanding of product features and architecture
  • Execute test scenarios, document results, and report issues
  • Prepare validation reports and quality documentation based on test outcomes
  • Support the preparation and organization of company-wide quality management deliverables for ISO9001 certification
  • Reproduce bugs, conduct basic root-cause analysis, and communicate with the development team
  • Organize and manage test data



✅ Requirements

  • A degree in Computer Science or a related field, or an equivalent level of technical understanding
  • Ability to understand requirements and functional specifications and organize them logically
  • Strong documentation skills for clearly writing test results and issue reports
  • Strong communication skills for collaborating with various stakeholders, including developers and product planners
  • Logical thinking and a strong sense of ownership in identifying problems and exploring root causes
  • Ability to actively utilize AI tools and internalize the outcomes effectively
  • Availability to work for at least 6 months
  • No restrictions on overseas travel



✅ Pluses

  • Experience writing scripts or automating tests using Python
  • Project experience related to AI, Computer Vision, or Vision-Language Models
  • Experience with basic API testing or web service testing
  • Experience developing or utilizing AI Agent or LLM-based services
  • Experience using collaboration tools such as Git, JIRA, and Confluence



✅ Hiring Process

  • Document Screening → 1st Interview → 2nd Interview → Offer → Hire

(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

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[Technical Operations] QA Engineer Intern (Fixed-Term)

👋 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 build on already established testing processes and validation methods to propose and apply creative quality assurance ideas tailored to AI products.

You will be encouraged to freely suggest improvements to product functionality and UI/UX from a customer-centric perspective, and take initiative in driving product quality forward based on a deep understanding of the product itself. Guided by our leadership principles, Be Proactive and Over Deliver, you will play a key role in raising the overall level of product completeness and quality.

This position will also offer the opportunity to broaden your domain expertise in areas such as industrial safety and ITS powered by Vision AI.




✅ Key Responsibilities

  • Design and write test cases based on an understanding of product features and architecture
  • Execute test scenarios, document results, and report issues
  • Prepare validation reports and quality documentation based on test outcomes
  • Support the preparation and organization of company-wide quality management deliverables for ISO9001 certification
  • Reproduce bugs, conduct basic root-cause analysis, and communicate with the development team
  • Organize and manage test data



✅ Requirements

  • A degree in Computer Science or a related field, or an equivalent level of technical understanding
  • Ability to understand requirements and functional specifications and organize them logically
  • Strong documentation skills for clearly writing test results and issue reports
  • Strong communication skills for collaborating with various stakeholders, including developers and product planners
  • Logical thinking and a strong sense of ownership in identifying problems and exploring root causes
  • Ability to actively utilize AI tools and internalize the outcomes effectively
  • Availability to work for at least 6 months
  • No restrictions on overseas travel



✅ Pluses

  • Experience writing scripts or automating tests using Python
  • Project experience related to AI, Computer Vision, or Vision-Language Models
  • Experience with basic API testing or web service testing
  • Experience developing or utilizing AI Agent or LLM-based services
  • Experience using collaboration tools such as Git, JIRA, and Confluence



✅ Hiring Process

  • Document Screening → 1st Interview → 2nd Interview → Offer → Hire

(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