Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Diffgram

Google Cloud Vertex AI

Labelbox

Lionbridge

Sama

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Computer Code Programming

Video

Top Task Types

Action Recognition

Bounding Box

Computer Programming Coding

Entity Ner Classification

Geocoding

Freelancer Overview

I have extensive experience in AI training data and data labeling, with a specialization in Kiswahili language content. My work involves annotating and evaluating large datasets for Natural Language Processing (NLP) tasks such as sentiment analysis, intent recognition, entity tagging, and quality ranking of AI-generated text. I am proficient in using industry-standard data labeling platforms like Labelbox, Doccano, and Prodigy, and I’ve collaborated on projects focused on enhancing large language models (LLMs) for Kiswahili understanding, translation, and generation. My background as a Kiswahili professor and translator enables me to deliver linguistically accurate, culturally sensitive annotations that strengthen AI models for real-world applications. I bring a unique blend of linguistic expertise, academic research, and practical annotation experience, ensuring high-quality training data for LLMs and NLP systems. This combination sets me apart as both a language specialist and a reliable data labeling contributor in multilingual AI projects.

Labeling Experience

Education

Work History