April - Speech and Language Annotator with 10+ years in Linguistics and Education

Brooklyn, New York, United Statesen

Developed high-quality emotion and sentiment labels for AI speech datasets, enhancing AI model accuracy.

Annotated large multilingual data sets in English and Spanish, contributing to advanced language processing systems.

Published on CazVid

Summary

Multilingual language expert with over a decade of experience in speech annotation, linguistics, and higher education. Skilled in emotion labeling, phonetics, and curriculum development to support AI and academic initiatives.

Key Achievements

Designed and led Spanish language courses at undergraduate and graduate levels, improving student engagement and learning outcomes.
Expertise in phonetics and phonology, supporting accurate speech recognition and synthesis projects.
Utilized annotation tools to streamline data labeling processes, increasing efficiency in AI data preparation.

Skills

Speech and Language AnnotationExpert

Specialized in annotating speech and text data for emotion, sentiment, and linguistic features in multilingual contexts.

Linguistics and PhoneticsAdvanced

Extensive knowledge of phonetics and phonology of Spanish and English, supporting accurate linguistic analysis.

Language EducationAdvanced

Proven ability to teach and coordinate language courses at undergraduate and graduate levels.

Data Annotation ToolsIntermediate

Proficient in using annotation tools and collaborative data environments to enhance project workflows.

Languages

English

Experience

Speech Annotator

Pollen Music Group

Annotate English audio for emotion, delivery, and context in AI media.. Tag audio clips for emotion categories (e.g., joy, sadness, anger, neutrality), intensity, and nuanced affect to create high-quality training data for Large Language Models and generative audio technologies.. Analyze and categorize non-speech utterances to provide training data for Large Language Models.

Spanish-Language Annotator

Linguistic Data Consortium

Analyze and annotate large data sets garnered from online texts, audio, and video.. Annotated text and video in Spanish- and English-language sources to generate input data for AI systems modeling future outcomes from current events.. Searched for and curated online data to be used as high-quality input for AI systems.. Performed quality and accuracy checks on AI-generated outputs against the original input materials.