Job description

AI Quality Assurance Engineer OPEN TO RECENT GRADUATES Location - Onsite, Plano, TX Language Requirement: English & Korean (Business Proficiency Required) Rate: 31.90 /hr. Position Overview We are seeking a detail-oriented, self-motivated AI Quality Assurance Engineer to drive the end-to-end execution, testing, and validation of innovative AI features and Large Language Model (LLM) integrations. In this role, you will design prompt-based test scenarios, evaluate model output quality across edge cases, analyze logs, report bugs, and support data-driven QA practices like performance benchmarking. If you are passionate about emerging AI technologies, enjoy solving complex debugging puzzles, and thrive in a fast-paced software development lifecycle, this is an excellent opportunity to help shape high-quality user experiences. Essential Duties & Responsibilities AI Feature Execution & Validation: Execute end-to-end testing and validation of new AI features to ensure functional accuracy, reliability, alignment with product requirements, and seamless UX integration prior to release. LLM & Prompt Testing: Design, run, and evaluate prompt-based test scenarios to ensure consistent, high-quality language model outputs across diverse scenarios and edge cases; automate prompt validation where possible using internal tools. Defect Management & Debugging: Identify, document, and report performance, usability, and accessibility bugs with clear user-impact assessments. Perform root-cause debugging and log analysis. Usability & Benchmarking: Conduct multi-platform usability testing to identify friction points and accessibility issues; support continuous product improvement through QA benchmarking and data-driven feedback. Project Execution & Collaboration: Manage and successfully execute multiple projects simultaneously under standard QA practices and procedures. Build and maintain strong, professional rapport with cross-functional internal and external teams. Qualifications & Experience Education: Bachelor of Science (BS) in Computer Science, Computer Engineering, Data Science, or a related technical field is required. QA Experience: 1–3 years of software QA experience with proven expertise in test plan creation, manual/automated test execution, defect tracking, and standard SDLC quality management lifecycles. Technical Skills & AI Familiarity: Exceptional analytical, problem-solving, debugging, and log analysis skills. Familiarity with AI systems, LLMs, and prompt engineering tools is highly desirable. Experience with automated prompt validation or scripting tools is a plus. Industry & Language Preferences: Experience in the Mobile/Telecom industry is desirable. Professional business proficiency in both English and Korean (speaking, reading, writing) is strongly preferred. Strong understanding of how technology influences culture and society in the US. Key Characteristics & Soft Skills Goal-Oriented & Proactive: Possesses a strong sense of urgency, ownership, and the ability to work independently with limited supervision under tight project deadlines. Exceptional Communicator: Outstanding written and verbal communication skills; adept at engaging with distributed teams across multiple locations. Continuous Learner: Highly curious and enthusiastic about staying current with rapidly evolving AI technologies and QA methodologies. #IND #LI-DC2

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