Linguist and Software Quality Assurance I

Overview

On Site
$36 - $36
Contract - W2

Skills

Accessibility
Analytical Skill
Artificial Intelligence
Automated Testing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Improvement
Data-driven Testing
Debugging
Documentation
English
Evaluation
Language Models
Log Analysis
MQL
Machine Learning (ML)
Management
Multitasking
Natural Language Processing
Optimization
Problem Solving
Prompt Engineering
Quality Assurance
Quality Management
Reasoning
Reporting
Scripting
Software Development
Software Quality Assurance
Spanish
Supervision
Telecommunications
Test Cases
Test Scenarios
Testing
Training
Translation
Usability
Usability Testing
User Experience
Writing

Job Details

Duties:

Expand this tool utilization to ASR / Bixby so that we can scale / expand MQL TC data sets.

Promot engineering on some of the internal platforms.

Support / drive NMT improvements (Main member that 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 and 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 fast pace environment, communicating quickly with key project stakeholders.

Maintain up-to-date competitive knowledge on voice quality market trends.

Gather and analyze data from multiple sources, prepare spreadsheets, charts, graphs and tables of information and to plan and prioritize multiple work assignments.

Communicate with internal/external teams in professional manner to build and maintain excellent rapport.

Determine course of action for the completion of objectives and tasks with limited instruction.

Works on problems of limited scope. Follows 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 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.

Strong command of language, creativity and logical reasoning.

Strong problem solving and analytical skills, communication (verbal and written) skills, and organizational and documentation skills

Demonstrate ability to solve problems involving highly diverse conditions requiring creativity to search for solutions among learned concepts

Goal oriented, possess a sense of urgency and capable to work under pressure and also work independently with limited supervision

 

Skills:

Ability to speak English fluently and record the audios for improving quality of products

Ability to write code and scripts to execute test data on ASR/Bixby speech and translation models

Android experience (intermediate level) is required for developing small apps that can help in testing and building 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 ability preferred.

Proven experience working with QA test plans, manual/automated test executing and managing defects/issues.

In-depth knowledge on product quality management and development and QA lifecycles.

Familiarity with LLMs and prompt engineering tools.

Familiarity with ML concepts, NLP and evaluation techniques (e.g. BLEU, TER, COMET).

Passion for learning and upkeep of evolving technologies.

Having an in-depth understanding on how technology influences the development of culture and society.

Excellent communication skills required.

Ideal candidate would be the self-starting motivated type.

Ideal candidate should be pro-active and be able to engage with multiple teams in multiple locations.

Ideal candidate should have a can-do attitude and will need to do whatever it takes to complete the job.

Ideal candidate will require excellent multi-tasking skills.

Ideal candidate is one who likes to take responsibility for their tasks and complete and drive their projects to completion.

 

Keywords:

Education:

1-3 years software development experience required.

BS in Computer Science/Engineering or related field is required.

MS in Computer Science/Engineering or related field is preferred.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.