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I'm Chibuike Onah, a detail-oriented Data Annotator Specialist with proven experience enhancing AI-driven products through large-scale annotation projects. I led a 20-member team to annotate and validate hundreds of thousands of aquatic organism images over an 8-month computer vision initiative, ensuring high accuracy and consistency using Roboflow. I'm adept at applying strict quality standards, managing labeling workflows, and supporting ML model development for object detection and classification. I bring expertise in data cleaning, exploratory analysis, and visualization, and I'm passionate about delivering precise, reliable data that improves the accuracy and global impact of AI technologies.…I'm Chibuike Onah, a detail-oriented Data Annotator Specialist with proven experience enhancing AI-driven products through large-scale annotation projects. I led a 20-member team to annotate and validate hundreds of thousands of aquatic organism images over an 8-month computer vision initiative, ensuring high accuracy and consistency using Roboflow. I'm adept at applying strict quality standards, managing labeling workflows, and supporting ML model development for object detection and classification. I bring expertise in data cleaning, exploratory analysis, and visualization, and I'm passionate about delivering precise, reliable data that improves the accuracy and global impact of AI technologies.

Chibuike Onah

Data Analyst, Data Scientist, Data Collector, +2

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I'm Chibuike Onah, a detail-oriented Data Annotator Specialist with proven experience enhancing AI-driven products through large-scale annotation projects. I led a 20-member team to annotate and validate hundreds of thousands of aquatic organism images over an 8-month computer vision initiative, ensuring high accuracy and consistency using Roboflow. I'm adept at applying strict quality standards, managing labeling workflows, and supporting ML model development for object detection and classification. I bring expertise in data cleaning, exploratory analysis, and visualization, and I'm passionate about delivering precise, reliable data that improves the accuracy and global impact of AI technologies.…I'm Chibuike Onah, a detail-oriented Data Annotator Specialist with proven experience enhancing AI-driven products through large-scale annotation projects. I led a 20-member team to annotate and validate hundreds of thousands of aquatic organism images over an 8-month computer vision initiative, ensuring high accuracy and consistency using Roboflow. I'm adept at applying strict quality standards, managing labeling workflows, and supporting ML model development for object detection and classification. I bring expertise in data cleaning, exploratory analysis, and visualization, and I'm passionate about delivering precise, reliable data that improves the accuracy and global impact of AI technologies.

Available to hire

I’m Chibuike Onah, a detail-oriented Data Annotator Specialist with proven experience enhancing AI-driven products through large-scale annotation projects. I led a 20-member team to annotate and validate hundreds of thousands of aquatic organism images over an 8-month computer vision initiative, ensuring high accuracy and consistency using Roboflow.
I’m adept at applying strict quality standards, managing labeling workflows, and supporting ML model development for object detection and classification. I bring expertise in data cleaning, exploratory analysis, and visualization, and I’m passionate about delivering precise, reliable data that improves the accuracy and global impact of AI technologies.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Annotation Team Lead at Roboflow project (via remote)

March 1, 2025 - November 8, 2025

Annotated and quality-checked 221,000 aquatic organism images to build high-accuracy computer vision datasets. Led a unit within a 20-member team to annotate and validate hundreds of thousands of images over an 8-month initiative, ensuring consistent labeling standards, accuracy, and timely delivery across project phases. Collaborated with project managers and data scientists to align annotation guidelines with ML requirements. Maintained dataset integrity through QA checks, resolved inconsistencies, and documented annotation processes. Contributed to a seven-month large-scale dataset development project, supporting downstream object detection and classification model training. Used Roboflow's annotation tools, versioning, and dataset management features to streamline workflows and improve labeling efficiency.

Lead Data Analyst at CLA

June 1, 2023 - November 8, 2025

Led data analysis efforts, analyzing and interpreting data from multiple sources; tracked technology trends and researched potential integrations to meet functional or performance needs. Analyzed current work practices and recommended improvements to increase efficiency, documenting findings and actionable recommendations for stakeholders.