Linguist II

Summary:

The main function of a Linguist is to determine speech data needs and setting strategic vision for data based model and product improvements.

Job Responsibilities:

• Provide linguistic expertise in the areas of phonetics, phonology, lexicography, dialectology, and NLP.
• Design and conduct experiments for evaluating transcription quality.
• Develop manual and automated processes for multiple concurrent projects including ensuring high-quality label alignments, prosodic classification, POS identification and disambiguation, targeted modeling data, and user feedback
• Create and perfect text normalization and inverse text normalization processes.
• Manage lexical and phrasal transcriptions and related metadata.
• Analyze system metrics such as user opinion, lexicon transcription coverage, and POS tagger performance and remedy pain points.

Skills:

• Knowledge of phonetics, phonology, sociolinguistics, dialectology and other areas of linguistics.
• Ability to analyze waveforms and spectrograms.
• Knowledge of prescriptive writing and punctuation conventions for at least one language.
• Excellent communication skills both verbal and written.
• Knowledge in transcription and annotation systems such as SAMPA, IPA and ToBI.

Education/Experience:

• Bachelor's degree in linguistics, language technologies, computational linguistics, speech science, or related field.

Must-Have Skills

• Phonetics and Phonology: Strong understanding of phonetics and phonology, with the ability to analyze speech data, design experiments, and develop manual and automated processes.
• Transcription and Annotation Systems: Knowledge of transcription and annotation systems such as SAMPA, IPA, and ToBI, with experience managing lexical and phrasal transcriptions and related metadata.
• Language Proficiency: Requires strong English language skills, with a focus on a European dialect.
• Programming Skills: Proficiency in programming languages such as Python, R, or SQL can be beneficial for a Linguist to automate processes, analyze data, and develop tools.
• NLP Expertise: Familiarity with Natural Language Processing (NLP)concepts and techniques, with experience working on speech data-based model and product improvements

Nice-to-Have Skills

• Analytical and Problem-Solving Skills: Ability to analyze system metrics, identify pain points, and develop solutions to improve speech data quality and model performance
• Data Visualization Skills: The ability to create visualizations using tools like Tableau, Power BI, or D3.js can help a Linguist to effectively communicate insights and findings to stakeholders.
• Project Management Experience: Experience with project management methodologies and tools can be helpful for a Linguist to manage multiple concurrent projects and ensure timely delivery of high-quality results.

Current Openings for Linguist II Jobs at Demo Site