Israel Ocholi

Key Skills

Software

AWS SageMaker

Appen

Axiom AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Text

Video

Top Label Types

Audio Recording

Classification

Computer Programming Coding

Object Detection

Text Generation

Text Summarization

Tracking

Transcription

Freelancer Overview

I have over four years of experience supporting technology products and improving user adoption through data-driven insights and process optimization. My background includes extensive work in application support, LMS administration, and content management, where I have resolved hundreds of user-reported issues and collaborated closely with engineering teams to ensure high-quality software releases. I am skilled in root cause analysis, data analysis, and reporting, which enables me to identify patterns and drive continuous improvement. My experience in developing dashboards, managing digital learning content, and implementing process enhancements has equipped me with a strong attention to detail and a passion for data integrity—key skills for data labeling and AI training data roles. I am comfortable working across cross-functional teams and have a proven track record of reducing errors and increasing efficiency in tech-enabled environments.

Labeling Experience

Data Labeling & Annotation Specialis

AppenVideoText GenerationObject Detection

Project Scope and Size: Worked on medium- to large-scale AI training data projects involving hundreds to thousands of data items per batch. The Labeling Tasks Performed Include: Image annotation - classification, object detection, bounding boxes. Text labeling (intent and sentiment classification) AI response evaluation and content moderation Prompt testing and refinement Quality Measures Adhered To: Strict adherence to annotation guidelines and policies Accuracy and consistency checks across datasets Peer review and quality validation before submission Flagging unclear or edge-case data for review Compliance with data privacy and security standards

Project Scope and Size: Worked on medium- to large-scale AI training data projects involving hundreds to thousands of data items per batch. The Labeling Tasks Performed Include: Image annotation - classification, object detection, bounding boxes. Text labeling (intent and sentiment classification) AI response evaluation and content moderation Prompt testing and refinement Quality Measures Adhered To: Strict adherence to annotation guidelines and policies Accuracy and consistency checks across datasets Peer review and quality validation before submission Flagging unclear or edge-case data for review Compliance with data privacy and security standards

2025 - 2025

Education

Work History