Eniola Adelaja

Key Skills

Software

Appen

Remotasks

Top Subject Matter

Computer Vision/Object Detection

Autonomous Driving/Computer Vision

Legal Services & Contract Review

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Freelancer Overview

Data Annotation Specialist (Image and Content Labelling). Core strengths include Appen and Remotasks. Education includes Bachelor of Science, University of Lagos (2025). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

AI Data Annotator (Image Annotation Specialist)

RemotasksImageBounding Box

As an AI data annotator, I annotated over 10,000 images using bounding boxes, polygons, and semantic segmentation techniques. These annotations supported autonomous driving model development by labeling vehicles, pedestrians, and road signs with a high degree of accuracy. I completed advanced training on LiDAR and 3D image annotation tools to increase project eligibility. • Labeled data for vehicles, pedestrians, and road signs in autonomous driving datasets. • Used bounding box and polygon annotation for computer vision. • Achieved over 95% annotation accuracy and passed regular QA audits. • Collaborated with QA to resolve inconsistency and improve reliability.

As an AI data annotator, I annotated over 10,000 images using bounding boxes, polygons, and semantic segmentation techniques. These annotations supported autonomous driving model development by labeling vehicles, pedestrians, and road signs with a high degree of accuracy. I completed advanced training on LiDAR and 3D image annotation tools to increase project eligibility. • Labeled data for vehicles, pedestrians, and road signs in autonomous driving datasets. • Used bounding box and polygon annotation for computer vision. • Achieved over 95% annotation accuracy and passed regular QA audits. • Collaborated with QA to resolve inconsistency and improve reliability.

2025 - 2026

Data Annotation Specialist (Image and Content Labelling)

AppenImageBounding Box

This role involved labeling and categorizing image datasets for machine learning training, focusing on object detection. I ensured consistent annotation quality across projects while adhering to tight deadlines. My work contributed to delivering high-accuracy datasets for computer vision applications. • Labeled images with bounding boxes for AI model training. • Maintained dataset consistency across long-term annotation projects. • Achieved 98%+ annotation accuracy by following strict QA processes. • Utilized Appen's proprietary tools for efficient data labeling.

This role involved labeling and categorizing image datasets for machine learning training, focusing on object detection. I ensured consistent annotation quality across projects while adhering to tight deadlines. My work contributed to delivering high-accuracy datasets for computer vision applications. • Labeled images with bounding boxes for AI model training. • Maintained dataset consistency across long-term annotation projects. • Achieved 98%+ annotation accuracy by following strict QA processes. • Utilized Appen's proprietary tools for efficient data labeling.

2024 - 2025

Education

Work History