Job Description

Location : New York , Burlingame, CA and Seattle, WA - Onsite. 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 either one language (Korean) with strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, localization and quality evaluations. Degrees/Certifications Required: • Masters, bachelors How many rounds of interviews? • 45 min 1st round - Behavioral interview - validation • 45 min 2nd round - technical - examples to work through - coderpad link Types of Interviews: • Zoom Interview Duration: • 45 min, 45 min


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
• 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

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