Joseph M.

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.

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.

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.

2025 - 2025

Education

Work History