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Gene Ee

Gene Ee

AI Trainer

Kenya flagNairobi, Kenya
$8.00/hrIntermediateCloudfactoryAppenRemotasks

Key Skills

Software

CloudFactoryCloudFactory
AppenAppen
RemotasksRemotasks

Top Subject Matter

AI and Machine Learning
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

ClassificationClassification
TranscriptionTranscription
Text SummarizationText Summarization

Freelancer Overview

AI Trainer. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CloudFactory. Education includes Bachelor of Science, Strathmore University (2025) and Diploma in Software Engineering, Moringa School (2024). AI-training focus includes data types such as Text and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

CloudFactory

AI Trainer

CloudfactoryTextClassification
As an AI Trainer at CloudFactory, I worked extensively on data annotation projects to improve machine learning models. I consistently applied detailed guidelines while reviewing, labeling, and validating thousands of data points to ensure quality and accuracy. My work involved adapting quickly to new data types, annotation tools, and collaborative workflows in a remote setting. • Labeled and validated over 10,000 data points for direct use in AI and ML model training and evaluation. • Conducted detailed reviews of 60+ AI-generated outputs to assess accuracy, relevance, and bias. • Meticulously followed 15+ annotation guidelines to ensure data quality and guideline consistency. • Analyzed and documented edge cases, delivering structured feedback that contributed to model improvements.

As an AI Trainer at CloudFactory, I worked extensively on data annotation projects to improve machine learning models. I consistently applied detailed guidelines while reviewing, labeling, and validating thousands of data points to ensure quality and accuracy. My work involved adapting quickly to new data types, annotation tools, and collaborative workflows in a remote setting. • Labeled and validated over 10,000 data points for direct use in AI and ML model training and evaluation. • Conducted detailed reviews of 60+ AI-generated outputs to assess accuracy, relevance, and bias. • Meticulously followed 15+ annotation guidelines to ensure data quality and guideline consistency. • Analyzed and documented edge cases, delivering structured feedback that contributed to model improvements.

2022 - 2025

Education

S

Strathmore University

Bachelor of Science, Informatics and Computer Science

Bachelor of Science
2021 - 2025
M

Moringa School

Diploma in Software Engineering, Software Engineering

Diploma in Software Engineering
2023 - 2024

Work History

M

Ministry of Transport

Technical Intern

Nairobi
2025 - 2025