Miracle John

Key Skills

Software

Label Studio

Top Subject Matter

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Freelancer Overview

Highly skilled Data Labeling Specialist and Linguist with extensive experience in linguistic data annotation, speech transcription, and quality assurance for AI and NLP applications. Proficient in labeling multilingual datasets, ensuring linguistic accuracy, and developing guidelines for annotation projects. Strong background in phonetics, computational linguistics, and dataset preparation for large language models (LLMs). Adept at managing annotation pipelines and collaborating with cross-functional AI and data teams.

Labeling Experience

Data Labeling Consultant

Label StudioText

Supported multiple AI research and development projects focused on improving natural language understanding, speech recognition, and multilingual model training. Projects spanned linguistic data curation, annotation process design, and dataset quality evaluation. Performed manual and semi-automated annotation of text, speech, and phonetic data for supervised machine learning and NLP research. Tagged and categorized datasets using Label Studio, Prodigy, and proprietary annotation tools. Created and maintained metadata schemas Conducted phonetic transcription, entity labeling, sentiment tagging, and intent classification tasks. Participated in multilingual labeling involving English, Spanish, and Yoruba corpora, ensuring cross-lingual consistency. Contributed to datasets ranging from 50,000 to over 1 million labeled instances, depending on project scope. Adhered to precision, recall, and inter-annotator agreement (IAA) benchmarks, maintaining >95% labeling accuracy.

Supported multiple AI research and development projects focused on improving natural language understanding, speech recognition, and multilingual model training. Projects spanned linguistic data curation, annotation process design, and dataset quality evaluation. Performed manual and semi-automated annotation of text, speech, and phonetic data for supervised machine learning and NLP research. Tagged and categorized datasets using Label Studio, Prodigy, and proprietary annotation tools. Created and maintained metadata schemas Conducted phonetic transcription, entity labeling, sentiment tagging, and intent classification tasks. Participated in multilingual labeling involving English, Spanish, and Yoruba corpora, ensuring cross-lingual consistency. Contributed to datasets ranging from 50,000 to over 1 million labeled instances, depending on project scope. Adhered to precision, recall, and inter-annotator agreement (IAA) benchmarks, maintaining >95% labeling accuracy.

2021 - 2023

Education

Work History