Daniel Gitimu

Detail-oriented professional with extensive experience in Clean Verbatim transcription and data annotation. Proven ability to deliver high-accuracy datasets for AI training and legal documentation. Highly proficient in utilizing automation scripts and AI-assisted tools to optimize workflow speed without sacrificing quality. Currently pursuing technical certification in ICT to deepen expertise in digital systems and data management.

Freelance Data Annotator & Transcriptionist - Self-Employed

(2024-01)

• Consistently maintain a 90% or higher accuracy rating on major transcription and QC platforms.
• Perform Quality Control (QC) on large-scale datasets, identifying and correcting labeling errors to ensure high-quality training data for AI models.
• Develop and implement custom automation scripts to streamline repetitive browser tasks, significantly increasing workflow efficiency.
• Utilize AI-assisted "listen-and-write" workflows to generate initial drafts, followed by rigorous manual editing to meet professional formatting standards.

Digital Asset & Token Research (Independent) - Self-Employed

(2024-01)

• Monitor and manage participation in emerging digital projects and points-based reward systems.
• Analyze project whitepapers and launch metrics to assess platform viability and security.

Certificate - Information and Communication Technology (ICT) - Meru National Polytechnic