Localization Academy

Computational Linguist

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Linguist II

Location: Remote

Duration: 12 months contract with possibility of extension.

Start: Targeting September 2024

Benefits: Medical, dental, vision, sick time based on state laws

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.

Job 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 Italian

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

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