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Freelancer

Freelancer

AI Data Annotator | Data Quality Specialist | Healthcare & NLP

Kenya flagNairobi, Kenya

Key Skills

Software

Data Annotation TechData Annotation Tech
Label StudioLabel Studio
DoccanoDoccano

Top Subject Matter

Healthcare – Medical Records & Patient Data
Technology – Artificial Intelligence & Machine Learning
Public Health & Epidemiology

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

ClassificationClassification
Object DetectionObject Detection
TranscriptionTranscription

Freelancer Overview

I am a data science and biostatistics professional with experience in data preprocessing, validation, and AI training workflows. I have worked on AI training tasks through the Multimango project on Aether, where I contributed to data annotation and quality control, ensuring accuracy and consistency in labeled datasets used for machine learning models. In addition to AI training, I have a strong background in healthcare data analytics, having worked on projects such as CHOP AI (Comprehensive Hospital Outcome Prediction System) and the H1N1 Flu Survey. My experience includes data cleaning, handling missing values, feature engineering, and working with health information systems like DHIS2. This combination of technical and analytical skills allows me to produce high-quality training data and contribute effectively to AI model development.

Labeling Experience

AI Data Annotation Specialist – Multimango (Aether Platform)

TextTextClassificationClassification

I worked on the Multimango project via the Aether platform, contributing to AI training data annotation and validation tasks. My role involved labeling and reviewing data according to detailed project guidelines, ensuring consistency, accuracy, and alignment with model training requirements. Tasks included categorizing content, evaluating responses, and making judgment-based decisions on ambiguous cases. I maintained high-quality standards by adhering to annotation guidelines, performing self-reviews, and ensuring consistency across large volumes of data. The project required strong attention to detail, critical thinking, and the ability to interpret nuanced instructions. My contributions supported the development and improvement of machine learning models by providing clean, reliable, and well-structured training data.

2026 - 2026

Education

J

JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY

Biostatistics, Statistics

Biostatistics
2018 - 2022

Work History

D

Dig Deep Africa

Field Enumerator

Nairobi
2025 - 2025
A

Adaptive Management Research Consultancy

Data Analyst

Nairobi
2023 - 2024