Jacques Charles

Key Skills

Software

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Classification

Freelancer Overview

I am an experienced data labeling and annotation specialist with a strong background in preparing high-quality training data for AI and machine learning projects. My expertise includes working with various data types, such as images, text, and audio, across domains like computer vision and natural language processing. I am skilled in using popular annotation tools and platforms, and I have a keen eye for detail to ensure accuracy and consistency in labeled datasets. I am comfortable collaborating with teams, following detailed guidelines, and adapting quickly to new project requirements. My commitment is to deliver reliable and precise data that supports the development of robust AI models.

Labeling Experience

AI Data Annotator / QA Reviewer

AppenTextClassification

I performed data annotation and linguistic labeling on Haitian Creole language datasets to train AI models. My work focused on ensuring accuracy and compliance with project guidelines through detailed quality assurance reviews. I collaborated remotely with global AI training teams on the Appen platform. • Conducted linguistic QA and validation for annotated datasets • Categorized and labeled textual data for machine learning • Followed precise instructions to maintain high-quality standards • Used Appen platform and web-based annotation tools for workflow efficiency

I performed data annotation and linguistic labeling on Haitian Creole language datasets to train AI models. My work focused on ensuring accuracy and compliance with project guidelines through detailed quality assurance reviews. I collaborated remotely with global AI training teams on the Appen platform. • Conducted linguistic QA and validation for annotated datasets • Categorized and labeled textual data for machine learning • Followed precise instructions to maintain high-quality standards • Used Appen platform and web-based annotation tools for workflow efficiency

2024 - 2025

Education

Work History