Key Skills

Software

CrowdSource

Data Annotation Tech

Dataloop

Humanatic

iMerit

Kili Technology

Labelbox

LightTag

Mercor

OneForma

OpenCV AI Kit (OAK)

Remotasks

Scale AI

Telus

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Audio

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Text

Video

Top Label Types

Action Recognition

Audio Recording

Bounding Box

Classification

Data Collection

Entity Ner Classification

Evaluation Rating

Fine Tuning

Object Detection

Text Summarization

Freelancer Overview

I am a bilingual Swahili–English AI data annotator and clinical officer with hands-on experience in annotating, validating, and quality-checking diverse datasets for AI training, particularly in healthcare and medical domains. My expertise spans medical and general data labeling (text, audio, video), linguistic evaluation, and structured documentation, with a strong focus on grammar, syntax, and semantic analysis. I have contributed to large language model development by evaluating AI-generated outputs for accuracy, logical consistency, and contextual relevance, and I am highly skilled in identifying error patterns and providing actionable feedback to improve model reasoning. My clinical background ensures precision in medical terminology, ICD-10 coding, and maintaining data integrity, while my experience with prompt testing, quality assurance, and remote project collaboration enables me to consistently deliver high-quality training data for AI and machine learning applications.

Labeling Experience

Education

Work History