Bilingual Linguist

• Support Machine Learning experts in language-specific areas for their target language (US English). These include creating grammar, providing language data, annotating for various NLP projects, writing documentation and guidelines, reviewing data and test results, and proposing improvements and new features.
• Perform tasks such as translation, localization, data annotation, phonetic transcription, speech synthesis, machine translation, natural utterance generation, grammar checking, ASR transcription, automation, text mining, and other NLP-related tasks.
• Research, plan, and document product features for various audiences, such as software developers, IT admins, sales engineers, and end users.
• Identify and resolve issues relating to documentation, project schedules, structure, design, and deliverables.

Required Qualifications:

• Education: Bachelor's Degree, preferably in Linguistics
• Native US English speaker with strong grammar, spelling, and syntax knowledge. - MUST be a native US English speaker
• Proficiency in Spanish with strong knowledge of grammar, spelling, and syntax.
• Experience in translation and/or localization for English and Spanish
• Ability to maintain focus on repetitive testing and data review tasks for long time periods.
• Excellent written and oral communication skills, with the ability to build strong relationships and advocate for the craft with internal stakeholders.
• Familiarity with voice assistants (Bixby, Siri, Google Assistant, Alexa, Cortana, etc.) on a regular basis.
• Expert ability to aggressively seek out, distill, and learn technical information from internal worldwide development teams, explain it to other team members, and then document it in the appropriate delivery target (developer guide, whitepaper, tutorial, blog, etc.).
• Stay current with trends, new tools, and technologies in the Android and mobile device ecosystem.
• Familiarity with smart home devices and the Internet of Things.
• Ability to quickly learn new tools and software in a Windows environment.
• Ability to understand and create use cases that developers can use to implement new product features.
• Ability to manage multiple competing priorities and maintain high content quality in a fast-paced, constantly changing dynamic environment.

Preferred Qualifications:

• Background in computational linguistics or natural language processing.
• Bachelor's Degree in Computational Linguistics, Linguistics
• Experience in a voice assistant software environment or equivalent academic setting.
• Scripting, programming, database experience (Python, Pandas, NumPy, SQL, Regular Expressions).
• Knowledge of US English linguistics (specifically syntax, semantics, and phonetics) and natural language processing.
• Demonstrated ability to write clear, concise, consistent, and accurate documentation for developers, SMEs, and IT personnel.
• Experience in US English localization.
• Experience in Voice UX design and dialog management.
• Expertise in data analysis and the ability to use Microsoft Excel functions and macros.
• Experience with content management tools (e.g., SharePoint, Confluence, Perforce, Git).
• Experience with developer tools (e.g., Android Studio, Jira).
• Software QA/testing experience.
• 0-3 Years of experience, level I
• 3 + years of experience, level II

**No C2C resumes are considered**

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

D6MFLls4bU