Esther B.

Key Skills

Software

Appen

Clickworker

CloudFactory

CrowdSource

Scale AI

Labelbox

OneForma

Mindrift

Micro1

Snorkel AI

Top Subject Matter

Data Annotation & Data Labeling

Data Management

Data Management

Top Data Types

Text

Video

Image

Top Task Types

Classification

Segmentation

Text Generation

Question Answering

Text Summarization

Object Detection

Data Collection

Freelancer Overview

I have developed strong experience in data collection, data validation, quality assurance, and records management through roles that required maintaining accurate datasets, reviewing information for completeness, and ensuring high standards of data integrity. In my work with Africa Harvest Biotech Foundation International (ICRISAT), I collected, organized, validated, and analyzed large volumes of training and participant data, performed quality checks, identified inconsistencies, and prepared structured reports. These responsibilities closely align with AI training data workflows that require accuracy, attention to detail, and adherence to established guidelines. My key strengths include data labeling, content classification, data evaluation, quality assurance, information verification, and working with text-based datasets. I am a native Swahili speaker with strong English communication skills, making me well-suited for multilingual AI projects involving annotation, content review, search relevance evaluation, and prompt-response assessment. With a Diploma in Information Technology and experience handling confidential information, digital records, and large datasets, I bring the analytical skills, reliability, and precision needed to support AI model training and data annotation projects while consistently meeting quality and productivity targets.

Labeling Experience

Data annotation and quality assurance

TextClassification

The project involved reviewing, organizing, and validating participant and training data to ensure accuracy and consistency. Key tasks included data verification, content categorization, identifying and correcting errors, and performing quality assurance checks before reporting. I worked with large datasets containing hundreds of records and maintained structured documentation for analysis and decision-making. To ensure high-quality results, I followed established data management guidelines, verified information against source records, conducted regular accuracy checks, maintained consistency in data classification, and handled sensitive information with confidentiality. This experience strengthened my skills in data annotation, data validation, quality assurance, and AI training data preparation.

2025 - 2026

Education

Work History