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J

James M'Igweta

Data Annotator – Remote AI Projects

KENYA flag
Nairobi, Kenya
$6.00/hrExpertOtherImeritMercor

Key Skills

Software

Other
iMeritiMerit
MercorMercor
Micro1
MindriftMindrift
OneFormaOneForma

Top Subject Matter

Artificial Intelligence
Machine Learning
Natural Language Processing

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Classification

Freelancer Overview

Data Annotator – Remote AI Projects. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Information Technology, University of Nairobi (2016). AI-training focus includes data types such as Text and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

Data Annotator – Remote AI Projects

OtherTextClassification
As a Data Annotator at Global AI Solutions, I was responsible for labeling and categorizing large-scale text, image, video, and audio datasets for machine learning projects. I applied detailed taxonomies and followed project-specific guidelines to ensure consistency and reliability in annotated data. My work directly supported the improvement and scalability of AI model accuracy by maintaining high-quality annotation standards. • Conducted annotation and classification of diverse text datasets for natural language processing (NLP) tasks. • Performed rigorous accuracy validation, consistently achieving above 98% accuracy rates on assigned tasks. • Collaborated with global teams to resolve ambiguities and improve labeling guidelines. • Provided structured feedback on annotation tools for workflow optimization.

As a Data Annotator at Global AI Solutions, I was responsible for labeling and categorizing large-scale text, image, video, and audio datasets for machine learning projects. I applied detailed taxonomies and followed project-specific guidelines to ensure consistency and reliability in annotated data. My work directly supported the improvement and scalability of AI model accuracy by maintaining high-quality annotation standards. • Conducted annotation and classification of diverse text datasets for natural language processing (NLP) tasks. • Performed rigorous accuracy validation, consistently achieving above 98% accuracy rates on assigned tasks. • Collaborated with global teams to resolve ambiguities and improve labeling guidelines. • Provided structured feedback on annotation tools for workflow optimization.

2019 - Present

Education

U

University of Nairobi

Bachelor of Information Technology, Information Technology

Bachelor of Information Technology
2012 - 2016

Work History

T

TechSolutions Africa

Data Entry & Content Analyst

Nairobi
2016 - 2019