Gabriel Aduyemi
Data Annotator, Data Labeler, and Data Evaluation Specialist
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About
Analytical and detail-driven Content Analyst with a strong background in data annotation, linguistic evaluation, and quality assurance across text, image, video, and audio datasets. Skilled in reviewing, labeling, and refining large volumes of English-language content under tight deadlines, maintaining balance between speed and precision. Experienced in AI/LLM evaluation, communication-based content review, and documentation for evolving project workflows.
Experience
Data Annotator at Scale AI (2025-06 – 2025-12)
- Executed content labeling and analytical evaluation for AI datasets with high adherence to project guidelines.
- Managed large task volumes with consistent accuracy and speed under time constraints.
- Conducted linguistic and contextual quality reviews of English text, audio, and image data.
- Applied structured documentation methods to report guideline ambiguities and improve data integrity.
- Collaborated with research and QA teams to refine machine learning outputs and ensure guideline compliance.
Content Analyst & Reviewer at Valum AI (2023-08 – 2024-12)
- Reviewed and evaluated English-language text, video, and image content for clarity, accuracy, and compliance with policy standards.
- Performed content moderation and quality checks across high-volume data environments.
- Balanced speed and quality using time-sensitive workflows and system-generated timers.
- Contributed to guideline documentation and identified edge cases for process refinement.
- Maintained professionalism and composure in fast-paced, deadline-driven tasks.
Medical Transcriptionist at Fiverr (2019-01 – 2020-07)
- Transcribed and edited complex medical documentation with near-perfect accuracy.
- Annotated transcripts to support NLP model training and linguistic data organization.
- Applied knowledge of clinical communication and documentation standards (SOAP, EHR).
- Ensured data confidentiality and HIPAA compliance throughout transcription projects.
AI & Data Enthusiast (Project-Based Learning) (2020 – 2020)
- Completed applied projects on data labeling and categorization.
- Developed foundational understanding of AI-driven evaluation and annotation workflows.
- Practiced QA tracking and consistency verification in model training datasets.
Education
MBBS – University of Benin (2022 – 2022)
