Daniel Nwogu
Brownstown,United States
Summary
English linguistics graduate with hands-on experience supporting large-scale AI training pipelines across text, image, video, and speech datasets. Strong analytical foundation in language structure combined with practical execution in annotation, transcription, and search relevance evaluation. Recognized for consistency, precision, and sustained quality in high-volume, guideline-driven environments. I care a lot about doing this kind of work well, because the data we produce directly shapes how AI systems understand the world.
Overview
1
1
Certification
15
15
years of professional experience
Work history
Senior Data Annotator & Labeler
Appen
2020.01 - 2026.08
- Led a functional team of 10 annotators in developing large-scale Spanish language models for a global e-commerce client, delivering over 2 million annotated data points annually.
- Developed and refined comprehensive style guides for subjective annotation tasks — including hate speech detection and sarcasm identification — achieving industry-leading inter-annotator agreement scores.
- Carry out final-tier validation of annotated batches, maintaining consistently high precision rates across 500K+ labeled instances with minimal error escalation.
- Built Python automation scripts to clean and format raw text data before the labeling phase, cutting preprocessing time significantly and removing manual data entry errors from the workflow.
- Apply deep linguistic knowledge to NLP tasks such as named entity recognition, coreference resolution, and syntactic parsing.
- Work closely with cross-functional teams to sharpen annotation guidelines, tackle edge cases, and keep labeling workflows running smoothly.
Transcription Specialist & ASR Reviewer
Rev
2015.01 - 2026.08
- Correct automated speech recognition outputs for linguistic accuracy
- Apply structured timestamp and formatting standards
- Analyzed audio samples for regional accents, speaking styles, and voice attributes to support language modeling datasets.
- Transcribe English speech datasets
Linguistics Research Assistant
Wayne State University
Detroit, MI
2012.01 - 2014.01
- Applied phonetic, morphological, and syntactic analysis frameworks to structured language datasets as part of applied linguistics research.
- Annotated language corpora and identified patterns in discourse, syntax, and semantics relevant to computational linguistics.
- Supported faculty research by organising, coding, and labeling textual data for qualitative and quantitative studies.
Education
Bachelor of Arts - Linguistics
Wayne State University
Detroit, MI 1 2010 - 1 2014
Skills
- Data Annotation & Labeling
- NLP & Text Classification
- Sentiment & Intent Tagging
- Misinformation Detection
- Quality Assurance & Peer Review
- Annotation Guideline Development
- Transcription
- Linguistic Analysis
- Annotation Tools: Appen Platform
- Labelbox
- Scale AI
- Productivity & Collaboration: Microsoft 365
- Google Workspace
- Slack
- Jira
- GitHub
- Microsoft Teams
- Technical: Python (scripting & data prep)
- NLP annotation workflows
- Corpus analysis
- Languages: English (Native)
Certification
- Advanced Data Labeling for AI
- Python for Data Science
ADDITIONAL INFORMATION
- Work Arrangement: Open to freelance, remote, and on-site opportunities
- Availability: Available for immediate engagement
Timeline
Senior Data Annotator & Labeler
Appen
2020.01 - 2026.08
Transcription Specialist & ASR Reviewer
Rev
2015.01 - 2026.08
Linguistics Research Assistant
Wayne State University
2012.01 - 2014.01
Bachelor of Arts - Linguistics
Wayne State University
1 2010 - 1 2014