Linguist and Software Quality Assurance

Job Title

Linguist and Software Quality Assurance I

Location: Plano, TX (Hybrid – 4 days onsite)

Duration: 12 months

• Expand tool utilization to ASR / Bixby to scale and expand MQL TC data sets.
• Promote engineering on internal platforms, support and drive NMT improvements (main contributor for Spanish translation).
• Ensure the successful execution of multiple projects simultaneously.
• Continuously improve test coverage, efficiency, and effectiveness by identifying areas for automation and optimization.
• Demonstrate exceptional problem-solving abilities and debugging/log analysis skills.
• Evaluate defects/issues based on market impact and product specifications (technical).
• Communicate high-priority risk defects/events to middle and upper management.
• Prioritize and manage multiple projects in a fast-paced environment, communicating quickly with key stakeholders.
• Maintain up-to-date competitive knowledge on voice quality market trends.
• Gather and analyze data from multiple sources; prepare spreadsheets, charts, graphs, and information as needed to plan and prioritize work.
• Communicate professionally with internal/external teams to build and maintain rapport.
• Determine course of action to complete objectives with limited instruction; follow standard practices and procedures.
• Conduct usability testing across platforms to identify friction points and accessibility issues.
• Design, run, and evaluate prompt-based test scenarios to ensure high-quality language model outputs.
• Collaborate with UX designers and product managers to validate design assumptions through user-centered QA practices.
• Create and maintain prompt evaluation frameworks, including edge cases and expected output quality.
• Report usability bugs and inconsistencies in AI-driven features with user impact assessments.
• Define metrics and standards for prompt performance (e.g., coherence, relevance, tone).
• Work with ML/NLP engineers to provide feedback on model behavior from QA and UX perspectives.
• Automate prompt validation where possible using internal tools (e.g., Gemini Prompt Tool).
• Support continuous improvement of UX and AI feature integration through data-driven QA practices.
• Document test cases, user flows, and prompt strategies for internal reference and training.
• Evaluate model output quality across diverse scenarios and edge cases.
• Display strong language, creativity, and logical reasoning; demonstrate problem-solving, communication, and organizational skills; work independently with limited supervision.

• Ability to speak English fluently and record audio to improve product quality; ability to write code and scripts to execute test data on ASR/Bixby speech and translation models.
• Android experience (intermediate) required for developing small apps to assist testing and build proof-of-concepts.
• Experience in software QA is desirable; experience in ML/AI systems is desirable.
• Experience in the Mobile/Telecom industry is desirable.
• English (business proficiency) and Spanish (business proficiency) speaking/reading/writing preferred.
• Proven experience with QA test plans, manual/automated test execution, and defect management.
• In-depth knowledge of product quality management and QA life cycles.
• Familiarity with LLMs and prompt engineering tools; familiarity with ML concepts, NLP, and evaluation techniques (e.g., BLEU, TER, COMET).
• Passion for learning and keeping up with evolving technologies; understanding how technology affects culture and society.
• Self-starting, proactive, and able to engage with multiple teams in multiple locations; can-do attitude and willingness to take ownership to complete tasks; strong multi-tasking skills.
• Excellent problem-solving and organizational skills, with strong written and verbal communication.

• 1-3 years software development experience required.
• BS in Computer Science/Engineering or related field required.
• MS in Computer Science/Engineering or related field preferred.

• Not Applicable

• Contract

• Information Technology
• Industries:
  Staffing and Recruiting

Note:

All content reflects the responsibilities and qualifications of the role as provided; no additional information was added.