Joseph Mukubu kapoya

Key Skills

Software

Label Studio

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

Top Subject Matter

Text Annotation

Code Review

LLM Tasks

Top Data Types

Document

Text

Image

Top Task Types

Segmentation

Classification

Prompt Response Writing SFT

Point Key Point

Polyline

Text Summarization

Transcription

Evaluation Rating

Computer Programming Coding

Function Calling

Data Collection

Question Answering

Object Detection

Cuboid

Entity Ner Classification

Bounding Box

Polygon

Text Generation

RLHF

Fine Tuning

Red Teaming

Freelancer Overview

Data Annotator – Cancer Analysis Data Preparation. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Internal, and Proprietary Tooling. Education includes Bachelor of Engineering, École Polytechnique de Sousse (2026). AI-training focus includes data types such as Medical, DICOM, and Document and labeling workflows including Segmentation, Classification, and Prompt + Response Writing (SFT).

Labeling Experience

Data Annotator – Cancer Analysis Data Preparation

Label StudioSegmentation

I participated in the cleaning and harmonization of multi-source datasets for cancer analysis projects. My work focused on meticulous labeling and verification of medical data to ensure high-quality predictive modeling. I assisted in the classification and annotation of diagnostic imaging using specialized annotation tools. • Labeled and harmonized data from clinical, survey, and medical imaging sources. • Ensured consistency in TNM labeling and cancer staging for accuracy in machine learning models. • Contributed to the annotation and classification of Wisconsin diagnostic images. • Utilized Label Studio, LabelImg, and CVAT for segmentation and quality assurance.

I participated in the cleaning and harmonization of multi-source datasets for cancer analysis projects. My work focused on meticulous labeling and verification of medical data to ensure high-quality predictive modeling. I assisted in the classification and annotation of diagnostic imaging using specialized annotation tools. • Labeled and harmonized data from clinical, survey, and medical imaging sources. • Ensured consistency in TNM labeling and cancer staging for accuracy in machine learning models. • Contributed to the annotation and classification of Wisconsin diagnostic images. • Utilized Label Studio, LabelImg, and CVAT for segmentation and quality assurance.

2025 - 2026

NLP Data Annotator – Generative AI & Chatbot Projects

Label StudioTextPrompt Response Writing SFT

I prepared conversational data and instruction-response pairs for language model fine-tuning projects. My work included annotating conversation logs and structuring high-quality datasets for training AI chatbots. Attention to contextual accuracy and relevance was prioritized in each annotation task. • Generated and labeled prompt-response pairs for generative AI chatbot training. • Conducted annotation of conversation data for NLP projects. • Ensured instructions and labels met fine-tuning standards for LLM performance. • Used Label Studio and Excel for data organization and annotation tracking.

I prepared conversational data and instruction-response pairs for language model fine-tuning projects. My work included annotating conversation logs and structuring high-quality datasets for training AI chatbots. Attention to contextual accuracy and relevance was prioritized in each annotation task. • Generated and labeled prompt-response pairs for generative AI chatbot training. • Conducted annotation of conversation data for NLP projects. • Ensured instructions and labels met fine-tuning standards for LLM performance. • Used Label Studio and Excel for data organization and annotation tracking.

2025 - 2025

Data Labeler – Churn Prediction Machine Learning Project

DocumentClassification

I labeled, cleaned, and engineered features from customer activity logs for churn prediction systems. My responsibilities included creating accurate target variables and ensuring data sets were well-prepared for model training. Manual review and correction of noisy data were also performed to optimize AI precision. • Created and labeled churn variables from raw customer activity logs. • Performed extensive manual data cleaning of tabular datasets. • Classified and annotated tabular data for machine learning input. • Used internal data pipeline tools and Excel for annotation and validation.

I labeled, cleaned, and engineered features from customer activity logs for churn prediction systems. My responsibilities included creating accurate target variables and ensuring data sets were well-prepared for model training. Manual review and correction of noisy data were also performed to optimize AI precision. • Created and labeled churn variables from raw customer activity logs. • Performed extensive manual data cleaning of tabular datasets. • Classified and annotated tabular data for machine learning input. • Used internal data pipeline tools and Excel for annotation and validation.

2025 - 2025

Education

Work History