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Rolex Ochieng

Rolex Ochieng

Experienced Data Labeling Specialist with expertise in all annotation.

Kenya flagNairobi, Kenya
$18.00/hrExpertAppenCloudfactoryCVAT

Key Skills

Software

AppenAppen
CloudFactoryCloudFactory
CVATCVAT
Data Annotation TechData Annotation Tech
LabelboxLabelbox
MindriftMindrift
OneFormaOneForma
TelusTelus

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
VideoVideo

Top Task Types

Evaluation Rating
Prompt Response Writing SFT
Segmentation
Text Generation
Translation Localization

Freelancer Overview

As an expert in data labeling and AI training, I have over three years of hands-on experience working on diverse annotation projects across text, image, and video datasets. My expertise spans text classification, sentiment analysis, entity recognition, image object detection, and video event tagging for both research and production AI systems. I am proficient in using advanced annotation platforms and collaborative tools to ensure high-quality, consistent data outputs. My academic background in Computer Science and ongoing Master’s in Software Engineering have equipped me with a strong understanding of AI/ML pipelines, quality assurance, and data privacy best practices. I have contributed to projects in sectors such as education technology, software engineering, and research, supporting both global teams and local initiatives. My attention to detail and commitment to quality consistently drive superior results in training data development.

ExpertSwahiliFrenchEnglish

Labeling Experience

Appen

Text Data Annotation for NLP Model Training

AppenTextEntity Ner ClassificationClassification
Labeled and categorized large volumes of text data for multiple natural language processing (NLP) projects. Tasks included sentiment tagging, intent classification, and named entity recognition. Maintained high annotation accuracy by strictly following detailed project guidelines and participating in periodic quality reviews. Contributed to the development of robust AI models for international clients.

Labeled and categorized large volumes of text data for multiple natural language processing (NLP) projects. Tasks included sentiment tagging, intent classification, and named entity recognition. Maintained high annotation accuracy by strictly following detailed project guidelines and participating in periodic quality reviews. Contributed to the development of robust AI models for international clients.

2024 - 2025

Education

J

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Computer Science

Bachelor of Science
2017 - 2021
U

University of Nairobi

Master of Science, Software Engineering

Master of Science
2022

Work History

M

Mindrift.com

Data Annotator

Remote
2025 - Present
D

Dataannotation.tech

Data Annotator

Remote
2023 - 2024