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
Evaluate and curate data sets for ML models using LLM solutions
Assess model and data quality
Prompt engineering
Collaboratively develop complex and consistent linguistic analyses

Proficient in either one language (Korean)
Master’s degree is good - bachelor’s degree with experience
data linguistic, RegEx, SQL
Python language
2-3 years of experience
If they have master’s degree and good academic background, then no experience is fine
If someone has bachelor's degree then we need at least 2 years of experience

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 either one language (Korean)
Awareness of Indian languages and their linguistic, cultural, local nuances
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), prompt engineering and their applications
Comfortable working in a fast paced, highly collaborative, dynamic work environment
Experience with database queries and data analysis processes (i.e. SQL, RegEx, spreadsheets, R, Unix, or others)
Strong organizational skills and detail oriented
Excellent communication skills both verbal and written
PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field
Proficiency in Python
Experience with machine learning frameworks, NLP Libraries and Tools

Local area,