Computational Linguist

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 strong linguistic data analysis and language technology experience to manage data collection, LLM-powered data synthesis and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality evaluations.

Job Responsibilities

• Provide linguistic expertise while delivering data for large language models.
• Collaborate with other linguists and data operations teams in data collection, data curation, and annotation efforts.
• Evaluate and curate data sets for ML models using LLM solutions.
• Assess model performance and data quality.
• Prompt engineering.
• Create guidelines in support of labeling projects that enable annotators to consistently label language data at quality.
• Collaboratively develop complex and consistent linguistic analyses.

Required Qualifications

• Bachelor s degree in general Linguistics, Computational Linguistics, or related field.
• Experience with regular expression encoding.
• Knowledge of syntax, semantics, pragmatics, sociolinguistics, corpus linguistics, and other areas of linguistics.
• Proficiency in Python.
• Experience with database queries and data analysis processes (i.e., SQL, spreadsheets).
• Experience working with speech and text data.
• Familiar with Large Language Models (LLMs), prompt engineering, 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 Qualifications

• Master s or PhD in Linguistics, language technologies, computational linguistics, or related field.
• Experience with machine learning frameworks, NLP Libraries and Tools.
• 4-5 years of experience.
• Conversational assistant, ML Support, LLMs.

Key Projects/Day-to-Day Responsibilities:

• Provide linguistic expertise while delivering data for large language models.
• Collaborate with other linguists and data operations teams in data collection, data curation, and annotation efforts.
• Evaluate and curate data sets for ML models using LLM solutions.
• Assess model performance and data quality.
• Prompt engineering.
• Create guidelines in support of labeling projects that enable annotators to consistently label language data at quality.
• Collaboratively develop complex and consistent linguistic analyses.

Must-Have Skills:

• Proficiency/Familiarity in Python and Experience with database queries and data analysis processes (i.e., SQL, spreadsheets).
• Experience with regular expression encoding.
• Familiar with Large Language Models (LLMs), prompt engineering, and their applications.

Nice-to-Have Skills:

• Experience with machine learning frameworks, NLP Libraries and Tools.
• 2-3 Years of experience working in a Linguist role.
• Conversational assistant, ML Support, LLMs.

Years of Experience: 04 - 05+ Years.

Education: Bachelor s degree in general Linguistics, Computational Linguistics, or related field required, Master/PhDs would be preferred not required.

Interview: 1 - 2 Rounds | Behavioral + Coding | 30 Minutes.