George O.

Key Skills

Software

iMerit

CloudFactory

Appen

Hasty

OneForma

Top Subject Matter

AI/ML data labeling for NLP and image tasks

Data annotation and validation for AI/data analysis

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Bounding Box

Polygon

Segmentation

Point/Key Point

Object Detection

Question Answering

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Freelancer Overview

AI Training Specialist at iMerit (2025–Present). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include iMerit and CloudFactory. Education includes Bachelor of Arts, University of Nairobi (2021) and Certification Program, FreeCodeCamp (2024). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification and Classification.

Labeling Experience

AI Training Specialist at iMerit (2025–Present)

iMeritTextEntity (NER) Classification

Performed data labeling for AI/ML model training across NLP tasks, including annotation and subsequent review of labeled outputs. Followed provided annotation guidelines to ensure consistent tagging and accurate labeling decisions. Conducted quality assurance checks and peer review activities to maintain data integrity and reduce labeling errors. • Annotated large-scale NLP datasets for model training • Ensured guideline compliance for accuracy and consistency • Reviewed outputs and handled edge cases with feedback • Supported iterative improvements to labeling workflows

2025 - Present

Data Annotator / Data Analyst at CloudFactory (2024–Present)

CloudFactoryTextClassification

Labeled and validated high-volume datasets with an emphasis on accuracy and productivity in fast-paced operations. Performed data quality checks and addressed inconsistencies to ensure labeled data met validation requirements. Contributed to ongoing improvements of annotation workflows through collaboration with distributed teams. • Labeled datasets and maintained labeling accuracy • Validated outputs and performed quality checks • Resolved data inconsistencies found during review • Collaborated to improve end-to-end annotation workflow efficiency

2024 - Present

Education

Work History