Praise Emmanuel

Key Skills

Software

CrowdSource

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Video

Image

Top Label Types

Data Collection

Segmentation

Classification

Freelancer Overview

I am an experienced data annotation and AI training data specialist with a strong background in both structured and unstructured data. My work includes annotating and validating large datasets for AI model training and evaluation, with hands-on experience in text and audio annotation, prompt identification, and quality assurance. I am highly skilled in following detailed guidelines, reviewing AI-generated outputs, and resolving ambiguous labeling scenarios to ensure high data integrity and accuracy. My technical proficiency includes tools like Labelbox, Microsoft Excel, Google Workspace, and custom QA dashboards. I excel in data validation, workflow accuracy, and iterative feedback processes, and have contributed to projects that improved labeling accuracy and supported ongoing model improvement. My attention to detail, analytical skills, and ability to work independently make me well-suited for data labeling and AI data operations across diverse domains.

Labeling Experience

AI DATA ANNOTATION AND QUALITY ASSURANCE CONTRIBUTOR

AppenImageSegmentationClassification

Annotated and validated large volumes of structured and unstructured data used in AI model training and evaluation. • Followed detailed annotation guidelines to ensure consistency, accuracy, and high data integrity across tasks. • Reviewed AI generated outputs and human-labeled data for correctness, relevance, and compliance with project specifications. • Identified ambiguous cases, edge scenarios, and labeling inconsistencies, escalating issues when guidelines required clarification.

Annotated and validated large volumes of structured and unstructured data used in AI model training and evaluation. • Followed detailed annotation guidelines to ensure consistency, accuracy, and high data integrity across tasks. • Reviewed AI generated outputs and human-labeled data for correctness, relevance, and compliance with project specifications. • Identified ambiguous cases, edge scenarios, and labeling inconsistencies, escalating issues when guidelines required clarification.

2025 - 2025

AI DATA TRAINER (HOME CONTRIBUTOR

CrowdsourceVideoData Collection

Upload data of recorded daily home activities videos in training ai Identify prompts of Ai videos Ai model training and evaluation and annotation Text annotation and audio annotation Data quality review.

Upload data of recorded daily home activities videos in training ai Identify prompts of Ai videos Ai model training and evaluation and annotation Text annotation and audio annotation Data quality review.

2025 - 2025

Education

Work History