Support Machine Learning experts in language-specific areas for a target language (US English). These include providing language data, annotation for various NLP projects, writing documentation and guidelines, and reviewing data and test results.
Perform tasks such as data annotation, phonetic transcription, grammar checking, transcription of recorded speech, and other NLP-related tasks.
Evaluate the quality and performance of NLP-based systems.
Research, plan, and document product features for a variety of audiences, such as software developers, IT admins, sales engineers, and end-users.
Triage of production usage data in accordance with the grading guidelines
Analyzing and inspecting data to identify NLU (natural language understanding) level of failures into predefined categories
Manual testing for failure regression
Technical issue management and triage
Active communication on progress and status to off-site counterparts
Provide technical input or report based on the completed analysis results to team members and supervisors effectively and concisely Required Qualifications
Ability to maintain focus on repetitive testing and data review tasks for long time periods.
Familiarity with and use of voice assistants (Siri, Google Assistant, Bixby, Alexa, Cortana, etc) regularly.
Ability to seek out, learn, and distill technical information, explain it to other team members, and document it in the appropriate delivery target (developer guide, whitepaper, tutorial, blog, etc.).
Ability to learn new tools and software quickly in a Windows environment.
Ability to manage multiple competing priorities and maintain high content quality in a fast-paced, constantly changing dynamic environment.
Minimum 3 years of Telecom R&D or QA experience > English Proficiency (Native, Bilingual ~ Professional Proficiency) > Fluency in English (or appropriate language) > Familiar with use of Samsung (Android style) phone/device
Has had experience in reviewing and trend analyzing sensitive data
Ability to work independently with minimal supervision
Ability to learn new skills and adapt to changing requirements
Experience with software/computer testing and principles Preferred Qualifications
Familiarity with smart home devices and Internet of Things.
Experience in a voice assistant software environment or equivalent academic setting.
Knowledge of US English linguistics (specifically syntax, semantics, and phonetics) and natural language processing.
Demonstrated ability to write documentation for developers, SMEs, and IT personnel that is clear, concise, consistent, and accurate.
Experience in US English localization.
Possesses experience and high level understanding of AI NLU (natural language understanding) layer
Experience in Voice UX design and dialog management.
Expertise with data analysis and ability Microsoft Excel functions and macros
Experience with content management tools (e.g., JIRA, Confluence, Perforce, Git).