Wakari W.

Key Skills

Software

iMerit

Remotasks

Other

Top Subject Matter

AI/ML dataset labeling and quality assurance

AI data labeling and quality assurance

AI project data preparation and workflow support

Top Data Types

Image

Text

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

Data Annotator (IMerit, Remote). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit, Remotasks, and Other. Education includes Diploma in Sales and Marketing, N/A (2025) and Data Analysis and Virtual Assistant Training, ALX Program (2024). AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Classification, Entity (NER), and Data Collection.

Labeling Experience

Data Annotator (IMerit, Remote)

iMeritImageClassification

Provided image and text annotations for machine learning datasets while maintaining required accuracy standards. Performed data categorization to support downstream AI model training and evaluation. Completed quality checks and reviews to ensure labeling consistency and client satisfaction. • Image labeling and annotation • Text annotation and data categorization • QA checks for accuracy and consistency • Met daily targets and deadlines

2025 - Present

Freelancer – AI Data Annotation and Quality Analyst

RemotasksText

Completed a range of AI data labeling tasks including image annotation and text categorization. Applied quality assurance practices to maintain standards and ensure client satisfaction. Worked with global teams in a remote workflow to deliver labeled data on time. • Data labeling across multiple task types • Image annotation and text categorization • Quality assurance for labeled outputs • Timely task completion with remote collaboration

2023 - Present

AI Data Specialist (Cloud Company, Nairobi)

OtherDocumentData Collection

Prepared and supported AI project workflows by creating high-quality datasets for machine learning use. Troubleshot challenges related to data preparation to keep project activities moving. Optimized cloud operations to facilitate efficient data storage and processing for AI tasks. • Dataset preparation for AI workflows • Troubleshooting data/workflow challenges • Cloud operations optimization for storage and processing • Ensuring efficient data availability for projects

2022 - Present

Education

Work History