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Position:Software Quality Assurance (AI Performance)
Location: Plano, TX
Job Id:284-17818
# of Openings:1
Job Title: Software Quality Assurance Tester (Korean Bilingual Preferred)
- Role: QA Tester – AI Performance / Voice Assistant Evaluation
- Pay Rate: Up to $30/hr (Depending on experience and qualifications)
- Location: Samsung Electronics America - Plano, TX 75023 (100% On-site, M-F, working hours vary by teams)
- Job Type: Full-Time Contractor under ITS (6-Month Contract with high possibility of extension as necessary)
- Work Authorization: Must be legally authorized to work in the U.S.
Benefits & Compensation Details
- Probationary Period: Standard benefit eligibility begins following a 3-month probation period.
- Health Benefits: Medical, Dental, and Vision Insurance eligibility opens after 3 months of employment.
- Paid Time Off (PTO): 80 hours (10 days) per year. Accrual begins immediately on your start date per pay period, and accrued PTO is available for use after completing 3 months of employment.
- Paid Holidays: 5 paid company holidays per year (New Year’s Day, Independence Day/Fourth of July, Labor Day, Thanksgiving Day, Christmas Day).
Note: Actual holiday schedules may be adjusted to align with the Samsung Plano team's operational schedule.
- 401(k): 401(k) benefits are not provided at this time.
- Pay Cycle: Bi-weekly payments issued every other Wednesday.
Role Summary
We are seeking a detail-oriented QA Tester to evaluate voice interaction performance for our AI-driven virtual assistant at our Mobile Quality Lab (MQL) in Plano, TX. The ideal candidate possesses direct experience with voice assistant applications, proficiency in audio testing methodologies, strong coding/scripting abilities, and robust log analysis skills. This role bridges hands-on software quality evaluation, prompt validation automation, and cross-functional bug tracking to ensure seamless AI interaction quality.
Top Skills
- AI & Voice Assistant Testing: Direct experience in testing voice interaction applications, audio testing methodologies, LLMs, and AI-driven virtual assistants.
- Automation & Log Analysis: Exceptional problem-solving skills to analyze logs, debug issues, and automate prompt validation using internal tools.
- Test Execution & Scripting: Proven ability to execute test cases/scripts, track regressions, and manage web-based and mobile device system testing.
Key Responsibilities
- Standards & Execution: Conduct comprehensive software quality testing in accordance with established standards and testing procedures.
- Bug Tracking & Regressions: Register detected bugs/issues in tracking systems and perform rigorous follow-up regression testing after fixes are deployed.
- System & Platform Testing: Test web-based systems, desktop applications, and mobile device software across diverse media tools.
- AI & Prompt Validation: Validate voice assistant performance, test prompt logic, and automate prompt validations where possible using internal utility tools.
- Project Execution & Collaboration: Simultaneously execute multiple QA projects under tight deadlines while collaborating closely with inter-departmental team members.
Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience) required.
- Experience: Prior QA/testing experience in the Mobile, Telecom, or Consumer Electronics industry is highly desirable.
- Language Skills: Fluent oral and written English required. Proficiency in Korean is a strong plus.
- Technical Skills: Tech-savvy with intermediate skills in computers, mobile OS, spreadsheets, test scripts, AI/LLM systems, and prompt engineering tools.
Core Competencies
- Linguistic & Cultural Awareness: Up-to-date knowledge of relevant linguistic, regional, and cultural trends impacting voice AI responses.
- Time Management & Urgency: Goal-oriented mindset with high time-management skills, capable of delivering results under pressure with limited supervision.
- Interpersonal Skills: Great communication and interpersonal skills to articulate software bugs clearly to engineers and stakeholders.
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