Shadrack Njuguna

Key Skills

Software

Labelbox

Scale AI

CVAT

Appen

Surge AI

Dataloop

Snorkel AI

Top Subject Matter

Financial Compliance & Risk Analysis

Stem Domain Expertise

Computer Code/Programming

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

AI Annotation & Data Labeling Expert. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Scale AI, and CVAT. Education includes Master of Science, University of Illinois (2023) and Bachelor of Science, University of Nairobi (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Annotation & Data Labeling Expert

LabelboxText

As an AI Annotation & Data Labeling Expert at Invisible Technologies, I executed high-volume text annotation, AI response evaluation, and content classification for finance, coding, STEM, and general knowledge domains. I performed structured rating, comparative ranking, fact-checking, and bias/safety analysis of large language model outputs, delivering detailed written justifications for every judgment. My responsibilities included reviewing mathematical and code-based reasoning, calibrating annotation guidelines, and maintaining 95%+ accuracy across projects. • Performed large-scale LLM output evaluation and content annotation. • Conducted deep fact-checking using SEC, IMF, and Bloomberg sources. • Executed comparative ranking, bias, and safety assessments. • Participated in guideline calibration and annotator onboarding.

As an AI Annotation & Data Labeling Expert at Invisible Technologies, I executed high-volume text annotation, AI response evaluation, and content classification for finance, coding, STEM, and general knowledge domains. I performed structured rating, comparative ranking, fact-checking, and bias/safety analysis of large language model outputs, delivering detailed written justifications for every judgment. My responsibilities included reviewing mathematical and code-based reasoning, calibrating annotation guidelines, and maintaining 95%+ accuracy across projects. • Performed large-scale LLM output evaluation and content annotation. • Conducted deep fact-checking using SEC, IMF, and Bloomberg sources. • Executed comparative ranking, bias, and safety assessments. • Participated in guideline calibration and annotator onboarding.

2022 - Present

Senior Data Annotation & QA Specialist

CVATTextClassification

As a Senior Data Annotation & QA Specialist at DataAnnotation Corp, I managed structured annotation tasks in text classification, sentiment analysis, named entity recognition, math reasoning, and instruction-following evaluation. I utilized multiple annotation platforms for both programmatic and manual multi-modal project workflows, spanning text and image data for diverse knowledge domains. Detailed analysis and feedback on ambiguous annotation cases helped improve project guideline quality. • Led sentiment, NER, and instruction-based annotation. • Performed mathematical and quantitative output verification in LLM projects. • Leveraged Dataloop and Snorkel AI for programmatic labeling. • Executed image classification and object labeling in CVAT.

As a Senior Data Annotation & QA Specialist at DataAnnotation Corp, I managed structured annotation tasks in text classification, sentiment analysis, named entity recognition, math reasoning, and instruction-following evaluation. I utilized multiple annotation platforms for both programmatic and manual multi-modal project workflows, spanning text and image data for diverse knowledge domains. Detailed analysis and feedback on ambiguous annotation cases helped improve project guideline quality. • Led sentiment, NER, and instruction-based annotation. • Performed mathematical and quantitative output verification in LLM projects. • Leveraged Dataloop and Snorkel AI for programmatic labeling. • Executed image classification and object labeling in CVAT.

2019 - 2021

Education

Work History