Praise N.

Key Skills

Software

Other

Micro1

Top Subject Matter

Computer vision video annotation (ontology-based classification)

Multimodal AI training data preparation and curation

Structured dataset validation and quality control

Top Data Types

Video

Document

Image

Text

Top Task Types

Bounding Box

Data Collection

Freelancer Overview

Video Data Annotator, Atlas (Remote). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and Micro1. Education includes Bachelor of Education, University of Benin (2024). AI-training focus includes data types such as Video and Document and labeling workflows including Bounding Box, Data Collection, and Evaluation.

Labeling Experience

Data Manager (Intern)

OtherDocumentData Collection

During my internship as a Data Manager at Mattan Data Solutions, I collected, entered, and validated data from multiple sources to support structured dataset creation. I regularly organized and maintained datasets using spreadsheets and databases to ensure reliability and accuracy. I consistently updated records to maintain data consistency for labeling and AI readiness. • Assisted in data validation critical for downstream data labeling workflows. • Supported structured dataset management and preparation. • Maintained data integrity for AI project use cases. • Ensured readiness and organization of data for annotation pipelines.

2025 - 2026

AI Training Pilot (Yellowstone Project)

Micro1VideoData Collection

As an AI Training Pilot on the Yellowstone project at Micro1, I was responsible for collecting and preparing real-life video data sets for AI training purposes. I performed daily resizing, uploading, and quality assurance for the video data collected. Each week, I managed up to 10 hours of new video data to ensure a steady data pipeline for AI development. • Enabled efficient AI training by delivering consistent, quality video datasets. • Handled large-scale video data uploads and organization. • Maintained high data integrity throughout the project cycle. • Supported continuous improvement of AI model accuracy through robust data collection.

2025 - 2026

Video Data Annotator

OtherVideoBounding Box

As a Video Data Annotator at Atlas, I annotated and labeled large video datasets for AI model training in computer vision applications. I applied precise tags, bounding boxes, and metadata to video frames in accordance with established annotation guidelines. I performed quality checks for accuracy, consistency, and completeness of the labeled data. • Supported AI model development by providing high-quality annotated video data. • Collaborated with remote teams to meet project goals. • Ensured adherence to strict annotation and quality control procedures. • Utilized attention to detail to maintain accuracy in labeling tasks.

2025 - 2026

Education

Work History