Iron Systems is an innovative, customer-focused provider of custom-built computing infrastructure platforms such as network servers, storage, OEM/ODM appliances & embedded systems. For more than 15 years, customer have trusted us for our innovative problem solving combined with holistic design, engineering, manufacturing, logistic and global support services.
Job Title: Linguist II
Location: US – CA – Burlingam
Job Description: Linguist II – German
- 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 or near-native fluency in German with strong linguistic data analysis and language technology experience to manage data collection, data synthesis and data annotation tasks, translation-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, translation, localization and annotation efforts
- Create annotation systems and guidelines
- Evaluate and curate data sets for ML models
- Assess model and data quality
- Collaboratively develop complex and consistent linguistic analyses
Required Qualifications
- Master’s degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field
- Native or near-native fluency in German
- Awareness of German linguistic, cultural, local norms
- Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics
- Experience working with speech and text data in multiple languages
- Familiar with Large Language Models (LLMs) and their applications
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
- Strong organizational skills and detail oriented
- Excellent communication skills both verbal and written
Preferred (additional) Qualifications
- PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field
- Experience with database queries and data analysis processes (i.e. SQL, spreadsheets, R, Unix, or others)
- intermediate or above skills in Python
- Experience with machine learning frameworks, NLP Libraries and Tools