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Oluwapelumi Ola

Oluwapelumi Ola

Expert in LLM Evaluation, Text Generation, Image and Video Annotation

Nigeria flagLagos, Nigeria
$10.00/hrIntermediateAppenCVATDataloop

Key Skills

Software

AppenAppen
CVATCVAT
DataloopDataloop
Google Cloud Vertex AIGoogle Cloud Vertex AI
LabelboxLabelbox
Label StudioLabel Studio
RoboflowRoboflow
SuperAnnotateSuperAnnotate
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Action Recognition
Bounding Box
Evaluation Rating
Polygon
RLHF

Freelancer Overview

I am a reliable and detail-focused AI Data Labeling expert with 2+ years of experience supporting AI teams and startups with high-quality data annotation and evaluation. I specialize in LLM evaluation, where I assess AI responses for accuracy, relevance, safety, and overall quality using structured rating and feedback methods to improve model performance. My expertise also covers image and video annotation for computer vision projects, including bounding boxes, polygon segmentation, object tracking, and scene classification. I have worked on datasets for object detection, visual recognition, and model training optimization, ensuring consistency and adherence to strict project guidelines. I am committed to delivering accurate, scalable, and deadline-driven results while maintaining excellent communication and strong attention to detail. If you’re looking for someone who understands both the technical and quality aspects of AI data preparation, I’m ready to contribute to your project’s success.

IntermediateEnglishSpanish

Labeling Experience

3 Dimension Annotation

Internal Proprietary ToolingImageBounding BoxPolygon
I annotated thousands of satellite and aerial images to help AI understand the world in 3D. Using our internal labeling tool, the team drew bounding boxes for quick object detection (vehicles, buildings, etc.) and precise polygons to trace complex shapes like roads, rivers, rooftops, and vegetation edges. The goal was to turn flat 2D imagery into rich, structured data that powers 3D reconstruction, change detection, and geospatial ML models. All work was done in-house with tight quality control for defense-grade accuracy.

I annotated thousands of satellite and aerial images to help AI understand the world in 3D. Using our internal labeling tool, the team drew bounding boxes for quick object detection (vehicles, buildings, etc.) and precise polygons to trace complex shapes like roads, rivers, rooftops, and vegetation edges. The goal was to turn flat 2D imagery into rich, structured data that powers 3D reconstruction, change detection, and geospatial ML models. All work was done in-house with tight quality control for defense-grade accuracy.

2025 - 2025

Education

O

Obafemi Awolowo University

Bachelor of Science, Chemical Engineering

Bachelor of Science
2016 - 2021

Work History

H

HUGO

Data Annotator

Chicago
2024 - 2025
M

Ministry Of Science And Technology

Cloud Engineer

Lagos
2023 - 2024