Meshack Kiprono

Key Skills

Software

AWS SageMaker

Argilla

Clickworker

CrowdSource

CVAT

Data Annotation Tech

Google Cloud Vertex AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Classification

Object Detection

Polygon

Freelancer Overview

I have hands-on experience in data labeling and AI training data preparation, specializing in creating high-quality, structured datasets for machine learning applications. My work has involved annotating large volumes of text, images, and audio with precision, adhering to strict guidelines to ensure consistency, accuracy, and reliability. I’ve contributed to natural language processing (NLP) tasks such as named entity recognition (NER), sentiment analysis, intent classification, and language identification, including work with low-resource languages like Swahili. My familiarity with annotation tools such as Label Studio, Prodigy, and custom Python scripts has enabled me to streamline the labeling process and maintain high throughput without sacrificing quality. What sets me apart is my strong foundation in computer science and linguistics, allowing me to bridge technical and language-based tasks effectively. I’ve worked closely with machine learning engineers to refine data pipelines and have proactively identified and corrected labeling inconsistencies to improve model performance. My attention to detail, coupled with a deep understanding of model training requirements and ethical data handling, ensures that the data I produce is not only accurate but also responsibly sourced and formatted.

Labeling Experience

Education

Work History