Chrispas Okioma

Key Skills

Software

Clickworker

CloudFactory

Data Annotation Tech

Labelbox

Mindrift

Toloka

Remotasks

Scale AI

Top Subject Matter

Healthcare Imaging

Autonomous Vehicles

E-commerce and Retail image classification

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Cuboid

Data Collection

Evaluation/Rating

Point/Key Point

Polygon

Freelancer Overview

Experienced in the meticulous art of data labeling and AI training data, I bring a proven track record of excellence in enhancing machine learning models across diverse applications. With a focus on precision and scalability, I have annotated extensive datasets in industries such as healthcare, autonomous vehicles, and e-commerce. My expertise spans both 2D and 3D data annotation, ensuring robust model training for tasks ranging from medical image analysis to autonomous driving systems. Key skills include developing comprehensive annotation guidelines, optimizing labeling workflows for efficiency, and conducting rigorous quality assurance to maintain data integrity. I excel in leveraging cutting-edge tools and methodologies to drive AI advancements, collaborating closely with interdisciplinary teams to refine algorithms and enhance predictive accuracy. With a passion for innovation and a commitment to excellence, I am dedicated to advancing AI capabilities that propel industries forward.

Labeling Experience

Medical Image Annotation for Diagnostics

Scale AIImagePolygonPoint Key Point

Annotated large datasets of medical images (such as X-rays, CT scans, and MRIs) to train AI models for automated diagnosis and anomaly detection. Developed detailed annotation guidelines to ensure consistency and accuracy in labeling critical features for disease identification and treatment planning.

Annotated large datasets of medical images (such as X-rays, CT scans, and MRIs) to train AI models for automated diagnosis and anomaly detection. Developed detailed annotation guidelines to ensure consistency and accuracy in labeling critical features for disease identification and treatment planning.

2021 - 2023

Education

Work History