Linguist and Software QA specialist

FocusKPI is seeking a Linguist and Software QA specialist on a W2 basis to join one of our clients, a high-tech SaaS company.

Work Location : Plano, TX; (Hybrid, 4 days a week) Duration : 12-month contract; On W2 Pay Range : $30 / hr to $35 / hr

No C2C resumes are considered

Responsibilities :

• Expand this tool utilization to ASR / Bixby so that we can scale / expand MQL TC data sets.
• Promote engineering on some of the internal platforms
• Support / drive NMT improvements (Main member who drives Spanish translation).
• Ensure the successful execution of multiple projects simultaneously.
• Continuously improve test coverage, efficiency, and effectiveness by identifying areas for automation and optimization.
• Exceptional problem-solving abilities, debugging, and log analysis skills.
• Evaluate defects / issues based on market impact and product specification (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 project stakeholders.
• Maintain up-to-date knowledge of competitive trends in the voice quality market.
• Gather and analyze data from multiple sources, prepare spreadsheets, charts, graphs, and tables of information, and plan and prioritize multiple work assignments.
• Communicate with internal / external teams in a professional manner to build and maintain excellent rapport.
• Determine the course of action for completing objectives and tasks with limited instruction.
• Conduct usability testing across platforms to identify friction points and accessibility issues.
• Design, run, and evaluate prompt-based test scenarios to ensure consistent and 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 closely with ML / NLP engineers to give feedback on model behavior from a QA and UX standpoint.
• Automate prompt validation where possible, using tools generated internally (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.

Requirements :

We are an equal opportunity employer and welcome applications from diverse candidates.

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