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K

Kelvin Kariuki

Data Labeling & Annotation Specialist

Kenya flagNairobi, Kenya
$21.00/hrExpert

Key Skills

Software

No software listed

Top Subject Matter

Education Domain Expertise
E-commerce Product Data & Taxonomy
General Knowledge

Top Data Types

TextText
AudioAudio
DocumentDocument

Top Task Types

Entity Ner Classification
Classification
Data Collection

Freelancer Overview

Data Labeling & Annotation Specialist. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Spreadsheet Tools. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture & Technology (2022). AI-training focus includes data types such as Text and labeling workflows including Entity (NER) Classification, Classification, and Data Collection.

ExpertEnglish

Labeling Experience

Research & Data Assistant

TextData Collection
As a Research & Data Assistant, I participated in academic research projects requiring data cleaning, preprocessing, and labeling of structured text datasets. My work involved building pipelines for data organization and maintaining dataset reproducibility. I synthesized findings into reports and collaborated on group annotation initiatives. • Assisted with the creation and maintenance of labeled research datasets. • Supported the implementation of data annotation in academic AI research. • Utilized Python and Excel for text cleaning and simple data pipelines. • Ensured quality and consistency for structured annotations in team projects.

As a Research & Data Assistant, I participated in academic research projects requiring data cleaning, preprocessing, and labeling of structured text datasets. My work involved building pipelines for data organization and maintaining dataset reproducibility. I synthesized findings into reports and collaborated on group annotation initiatives. • Assisted with the creation and maintenance of labeled research datasets. • Supported the implementation of data annotation in academic AI research. • Utilized Python and Excel for text cleaning and simple data pipelines. • Ensured quality and consistency for structured annotations in team projects.

2023 - Present

Data Labeling & Annotation Specialist

TextEntity Ner Classification
As a Data Labeling & Annotation Specialist, I annotated thousands of text samples across various domains to support LLM training. My tasks included NER, POS tagging, intent classification, semantic similarity, and reviewing AI-generated responses for RLHF pipelines. I maintained over 95% accuracy and collaborated asynchronously to clarify annotation guidelines. • Created diverse dialogue and instruction datasets across formal and conversational registers. • Evaluated model outputs against rubrics to flag hallucinations and bias. • Iterated on style guides and edge case definitions with project coordinators. • Consistently met daily throughput targets while ensuring high label quality.

As a Data Labeling & Annotation Specialist, I annotated thousands of text samples across various domains to support LLM training. My tasks included NER, POS tagging, intent classification, semantic similarity, and reviewing AI-generated responses for RLHF pipelines. I maintained over 95% accuracy and collaborated asynchronously to clarify annotation guidelines. • Created diverse dialogue and instruction datasets across formal and conversational registers. • Evaluated model outputs against rubrics to flag hallucinations and bias. • Iterated on style guides and edge case definitions with project coordinators. • Consistently met daily throughput targets while ensuring high label quality.

2022 - Present

Content Quality Reviewer

TextClassification
As a Content Quality Reviewer, I labeled and reviewed user-generated content for adherence to platform policies and multi-label classification frameworks. I assessed content for sentiment, toxicity, and relevance across large datasets under tight deadlines. My contributions supported policy documentation and team reviewer training. • Developed and distributed internal annotation notes and checklists. • Labeled ambiguous edge cases and escalated policy violations for review. • Provided structured feedback on contentious content items. • Helped standardize reviewer consistency to reduce inter-annotator disagreement.

As a Content Quality Reviewer, I labeled and reviewed user-generated content for adherence to platform policies and multi-label classification frameworks. I assessed content for sentiment, toxicity, and relevance across large datasets under tight deadlines. My contributions supported policy documentation and team reviewer training. • Developed and distributed internal annotation notes and checklists. • Labeled ambiguous edge cases and escalated policy violations for review. • Provided structured feedback on contentious content items. • Helped standardize reviewer consistency to reduce inter-annotator disagreement.

2021 - 2022

Education

J

Jomo Kenyatta University of Agriculture & Technology

Bachelor of Science, Software Engineering

Bachelor of Science
2022

Work History

J

JKUAT

Research & Data Assistant

Nairobi
2023 - Present