Josh Ochieng

Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Bounding Box

Polygon

Segmentation

Classification

Freelancer Overview

I am a dedicated remote freelancer specializing in data annotation, labeling, and AI training data tasks. With hands-on experience in text classification, content evaluation, and AI response review, I consistently deliver accurate and high-quality results for diverse projects. My background includes working with both structured and unstructured data, performing quality checks, and improving AI-generated outputs by following detailed instructions and strict guidelines. I am skilled with tools such as Google Docs, Sheets, annotation platforms, and task management interfaces, and I adapt quickly to new workflows. My strong attention to detail, analytical thinking, and commitment to meeting deadlines make me a reliable choice for projects requiring precision and confidentiality. I am comfortable working independently, open to feedback, and ready to support short- or long-term data labeling and AI training initiatives across various domains.

Labeling Experience

AI Data Annotation & Content Classification Project

Data Annotation TechTextBounding BoxPolygon

Worked on remote data annotation and labeling tasks to support machine learning and AI model training. Responsibilities included classifying text data, annotating images using bounding boxes, polygons, and segmentation techniques, and reviewing AI-generated outputs for accuracy and relevance. Followed detailed project guidelines and quality standards to ensure high annotation accuracy, consistency, and data integrity across large datasets.

Worked on remote data annotation and labeling tasks to support machine learning and AI model training. Responsibilities included classifying text data, annotating images using bounding boxes, polygons, and segmentation techniques, and reviewing AI-generated outputs for accuracy and relevance. Followed detailed project guidelines and quality standards to ensure high annotation accuracy, consistency, and data integrity across large datasets.

2023 - 2025

Education

Work History