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Nelson Opeyemi

Nelson Opeyemi

AI Data Labeling & Video Annotation Specialist

USA flag
New York City, Usa
$20.00/hrExpertImeritLabelboxMercor

Key Skills

Software

iMeritiMerit
LabelboxLabelbox
MercorMercor
MindriftMindrift
ClickworkerClickworker
CloudFactoryCloudFactory
Google Cloud Vertex AIGoogle Cloud Vertex AI
Label StudioLabel Studio

Top Subject Matter

Technology – Artificial Intelligence & Machine Learning
Autonomous Systems – Self-Driving / Computer Vision
Mapping & Geospatial – GIS and Location Data

Top Data Types

VideoVideo
ImageImage
TextText

Top Task Types

Text Summarization
Evaluation Rating
Polygon
Classification
Object Detection
Entity Ner Classification

Freelancer Overview

I have developed solid experience in data labeling and AI training through hands-on work across multiple projects involving image annotation, text classification, and data validation. My background in geospatial and field data collection has strengthened my attention to detail, accuracy, and consistency qualities that are essential in producing high-quality labeled datasets. I am highly proficient in following detailed annotation guidelines, handling large datasets efficiently, and maintaining quality control standards. I also have experience working with structured and unstructured data, ensuring that outputs meet both technical and contextual requirements for machine learning models. Professionally, I have collaborated with reputable organizations such as Google, iMerit, and Mecor, currently working with an imerit company where I contributed to various data labeling and AI training tasks. In these roles, I worked both independently and within distributed teams, meeting deadlines while maintaining high precision in my deliverables. My experience includes reviewing and correcting annotations, adapting quickly to new tools and workflows, and ensuring compliance with project specifications. Overall, I bring a strong work ethic, adaptability, and a deep understanding of the importance of quality data in building reliable AI systems.

ExpertEnglish

Labeling Experience

Video Annotation & Computer Vision Data Labeling Specialist

VideoEvaluation Rating
I worked on video annotation projects focused on training computer vision models for object detection and motion tracking. My responsibilities included frame-by-frame labeling of moving objects using bounding boxes and segmentation techniques, as well as tracking objects across multiple frames to ensure temporal consistency. I also annotated human actions and events in videos to support action recognition models, ensuring high precision and adherence to detailed annotation guidelines. In addition, I conducted quality assurance by reviewing annotated video data, identifying inconsistencies, and correcting errors to maintain high dataset accuracy. I worked with large-scale video datasets and adapted quickly to different annotation tools and workflows. My ability to maintain consistency across frames and deliver high-quality annotations within deadlines contributed to the development of reliable AI models.

I worked on video annotation projects focused on training computer vision models for object detection and motion tracking. My responsibilities included frame-by-frame labeling of moving objects using bounding boxes and segmentation techniques, as well as tracking objects across multiple frames to ensure temporal consistency. I also annotated human actions and events in videos to support action recognition models, ensuring high precision and adherence to detailed annotation guidelines. In addition, I conducted quality assurance by reviewing annotated video data, identifying inconsistencies, and correcting errors to maintain high dataset accuracy. I worked with large-scale video datasets and adapted quickly to different annotation tools and workflows. My ability to maintain consistency across frames and deliver high-quality annotations within deadlines contributed to the development of reliable AI models.

2023 - 2023

AI Data Labeling & Annotation Specialist

ImageObject Detection
I worked on multiple AI training and data labeling projects involving image annotation, text classification, and geospatial data tagging. My responsibilities included labeling datasets using bounding boxes, segmentation, and classification techniques while strictly following annotation guidelines to ensure consistency and accuracy. I handled both structured and unstructured datasets, performed quality checks, and corrected annotation errors to improve overall dataset reliability. I collaborated with distributed teams to meet project deadlines and quality benchmarks, contributing to the development of high-performing machine learning models. My work required strong attention to detail, adaptability to different annotation tools, and the ability to maintain high accuracy across large-scale datasets. I also participated in validation tasks to ensure labeled data met client and project standards.

I worked on multiple AI training and data labeling projects involving image annotation, text classification, and geospatial data tagging. My responsibilities included labeling datasets using bounding boxes, segmentation, and classification techniques while strictly following annotation guidelines to ensure consistency and accuracy. I handled both structured and unstructured datasets, performed quality checks, and corrected annotation errors to improve overall dataset reliability. I collaborated with distributed teams to meet project deadlines and quality benchmarks, contributing to the development of high-performing machine learning models. My work required strong attention to detail, adaptability to different annotation tools, and the ability to maintain high accuracy across large-scale datasets. I also participated in validation tasks to ensure labeled data met client and project standards.

2022 - 2023

Education

F

FEDERAL UNIVERSITY OF TECHNOLOGY AKURE (FUTA)

B.Tech , SURVEYING AND GEOINFORMATICS

B.Tech
2018 - 2025

Work History

H

HI-TECH

SURVEYOR

Akure
2025 - 2026