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Grace Faith Elyon

AI Data Analyst Annotator

Nigeria flagN/A, Nigeria
ExpertImerit

Key Skills

Software

iMeritiMerit

Top Subject Matter

Computer Vision

Top Data Types

ImageImage

Top Task Types

SegmentationSegmentation

Freelancer Overview

AI Data Analyst Annotator. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit. Education includes Bachelor of Science, University of Nigeria Nsukka. AI-training focus includes data types such as Image and labeling workflows including Segmentation.

Expert

Labeling Experience

iMerit

AI Data Analyst Annotator

ImeritImageSegmentation
As an AI Data Analyst Annotator at iMerit, I performed precise image annotation and labeling for computer vision model training across multiple industries. My primary responsibilities included applying semantic segmentation, bounding boxes, key point extraction, and advanced annotation techniques such as 2D/3D cuboids and polylines. I collaborated with machine learning engineers to refine guidelines, consistently maintaining over 99% accuracy in data labeling. • Delivered high-quality annotated image data for use in autonomous driving, medical, and retail datasets. • Applied logical reasoning to resolve edge cases and ensure annotation consistency. • Improved annotation efficiency through collaboration and technical communication. • Managed large datasets using computer vision software and productivity hardware.

As an AI Data Analyst Annotator at iMerit, I performed precise image annotation and labeling for computer vision model training across multiple industries. My primary responsibilities included applying semantic segmentation, bounding boxes, key point extraction, and advanced annotation techniques such as 2D/3D cuboids and polylines. I collaborated with machine learning engineers to refine guidelines, consistently maintaining over 99% accuracy in data labeling. • Delivered high-quality annotated image data for use in autonomous driving, medical, and retail datasets. • Applied logical reasoning to resolve edge cases and ensure annotation consistency. • Improved annotation efficiency through collaboration and technical communication. • Managed large datasets using computer vision software and productivity hardware.

2025 - 2026

Education

U

University of Nigeria Nsukka

Bachelor of Science, Mass Communication

Bachelor of Science
Not specified

Work History

C

Consumer Opportunity

Lead Generation and Appointment Setter

N/A
2021 - 2024