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V

Victor Chogo

UNESCO AI Ethics Contributor

KENYA flag
Remote, Kenya
$5.00/hrIntermediateCloudfactoryGoogle Cloud Vertex AIAws Sagemaker

Key Skills

Software

CloudFactoryCloudFactory
Google Cloud Vertex AIGoogle Cloud Vertex AI
AWS SageMakerAWS SageMaker
RemotasksRemotasks

Top Subject Matter

AI Ethics
Large Language Models
Responsible AI

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

RLHF
Bounding Box
Polygon
Segmentation
Classification
Polyline
Cuboid
Object Detection
Text Generation
Entity Ner Classification
Question Answering
Text Summarization
Transcription
Data Collection
Computer Programming Coding

Freelancer Overview

UNESCO AI Ethics Contributor. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Master of Science, Quantic School of Business and Technology (2024) and Bachelor of Business Information Technology, Mount Kenya University (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF.

IntermediateEnglish

Labeling Experience

UNESCO AI Ethics Contributor

TextRLHF
As a UNESCO AI Ethics Contributor, I provided expert input on responsible large language model governance and AI fairness frameworks. My focus was on transparency and accountability in AI-driven systems for emerging markets. This work involved evaluating and advising on the development of ethical AI data practices and responsible training of models. • Recommended best practices for AI model training data and annotation ethics. • Assessed the potential biases in LLM training data for fairness and transparency. • Collaborated with international experts on guidelines for AI data labeling and use. • Supported AI system evaluation with a focus on real-world impact and ethical governance.

As a UNESCO AI Ethics Contributor, I provided expert input on responsible large language model governance and AI fairness frameworks. My focus was on transparency and accountability in AI-driven systems for emerging markets. This work involved evaluating and advising on the development of ethical AI data practices and responsible training of models. • Recommended best practices for AI model training data and annotation ethics. • Assessed the potential biases in LLM training data for fairness and transparency. • Collaborated with international experts on guidelines for AI data labeling and use. • Supported AI system evaluation with a focus on real-world impact and ethical governance.

Not specified

Education

M

Mount Kenya University

Bachelor of Business Information Technology, Business Information Technology

Bachelor of Business Information Technology
2018 - 2022
Q

Quantic School of Business and Technology

Master of Science, Software Engineering

Master of Science
2024

Work History

O

One Planet One People

Full-Stack Developer

Remote
2025 - Present
G

G4S

Security and IT Infrastructure Engineer

Kuwait
2023 - 2025