Linguist III – French
Onsite, Hybrid, or Remote
Summary:
We are looking for a Linguist to help us develop language components for a variety of voice-enabled technologies and products. We are seeking candidates with native fluency in Mexican Spanish and with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, localization and ML model improvements.
Responsibilities:
- Provide linguistic expertise in the areas of syntax, semantics, pragmatics and sociolinguistics
- Collaborate with other linguists and data operations teams in data collection, data curation, localization and annotation efforts
- Create annotation systems and guidelines
- Evaluate and curate data sets for ML models
- Use grammar-based methods and programmatic templates for generating annotated data
- Design and conduct experiments for evaluating model and data quality
- Collaboratively develop complex and consistent linguistic analyses
Basic Qualifications:
- Master’s degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field
- Two (2) or more years of experience in Linguistics, Language Technologies, or NLP
- Native fluency in French
- Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics
- Experience with database queries and data analysis processes (i.e. SQL, spreadsheets, R, Unix, or others)
- Experience with language annotation or other forms of data markup and tagging
- Experience working with speech and text data in multiple languages
- Excellent communication skills both verbal and written
Preferred Qualifications:
- PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field
- Experience in building semantic ontologies and semantic relation frameworks
- Experience with statistical language modeling
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
- Strong organizational skills and detail oriented