Faith Munga
I am a detail-oriented data annotator and linguistic expert with experience in segmentation, image annotation, video tagging, and categorization, delivering accurate and high-quality labeled data for AI and machine learning projects.
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About
Experienced AI Data Annotation and Content Labeling Specialist with 7+ years of experience in search relevance evaluation, AI training data annotation, and quality assurance. Skilled in content sorting, tagging, image annotation, fact-checking, and instruction following for machine learning datasets. Strong experience evaluating AI outputs, performing query intent analysis, and ensuring high-quality labeled data through structured guidelines.
Proven ability to maintain accuracy above 95% in large-scale remote annotation environments.
Experience
AI Data Annotator at TELUS (Sonic Project phase 1)
Content labeling, tagging, and search relevance evaluation using structured TELUS guidelines
- Performed content labeling, tagging, and search relevance evaluation using structured TELUS guidelines
- Reviewed AI-generated outputs for accuracy, relevance, and instruction compliance
- Conducted basic fact-checking using the provided reference information
- Ensured consistency and high-quality annotation across datasets
- Identified edge cases and inconsistencies in AI outputs
AI Data Annotator at CloudFactory (2021-01 – 2024-07)
Multilingual data annotation and search relevance evaluation for AI training
- Annotated multilingual datasets (English and Swahili) for AI training
- Performed search relevance evaluation and content classification tasks
- Completed ranking and pairwise comparison tasks
- Maintained over 95% accuracy in high-volume annotation workflows
- Identified inconsistencies and edge cases in AI outputs
Data Annotator at Data Annotation 4U (2024-01 – 2025-07)
Text and image dataset labeling for machine learning models
- Labeled text and image datasets for machine learning models
- Performed structured tagging and classification tasks
- Conducted ranking and comparison evaluations
- Ensured data quality and strict guideline compliance
AI Data Annotator / Trust & Safety Evaluator at Glassdoor (2020-01 – 2026-01)
AI-generated content evaluation for relevance, accuracy, and compliance
- Evaluated AI-generated content for relevance, accuracy, and compliance
- Performed content moderation and basic fact-checking
- Ensured adherence to safety and quality standards
- Worked in secure remote AI evaluation environments
Education
Bachelor of science in computer science – Nairobi University
