Olatunde Raheem

I’m a detail-oriented AI Data Annotation and Transcription Specialist, supporting machine learning and generative AI projects with high-quality text, audio, and image annotation. I work closely with AI systems to review, correct, and refine model-generated outputs so they meet strict project standards.

I bring strong quality assurance to every task—following complex guidelines to ensure accuracy, consistency, and reliability. I handle text classification, sentiment analysis, and intent tagging, and I’m comfortable structuring datasets with clear metadata for real-world AI use.

On audio work, I transcribe recorded speech with high accuracy, including speaker identification and timestamps, and I deliver both verbatim and clean formatting. On visual tasks, I label objects through tagging, bounding boxes, and categorization to support object recognition and classification.

I’m also confident in independent, remote work within human–AI workflows. I maintain an average accuracy score above 95% across multiple annotation platforms, adapt quickly between task types, and take pride in fact-checking, content validation, and information verification.