Nahashon M.

Key Skills

Software

CVAT

LabelImg

Label Studio

SuperAnnotate

Doccano

Top Subject Matter

No subject matter listed

Top Data Types

Document

Medical Dicom

Text

Top Task Types

Evaluation/Rating

Fine-tuning

Prompt + Response Writing (SFT)

Question Answering

Text Summarization

Freelancer Overview

I possess substantial experience in the preparation of AI training data, with particular emphasis on evaluation, rating, fine-tuning, and prompt–response composition (specifically SFT). My professional background includes work on tasks such as question answering and text summarization, where attention to detail and precise communication have been critical in ensuring the production of high-quality outputs. My academic training in biomedical sciences provides a distinct advantage when it comes to the labeling and curation of complex datasets, particularly in contexts requiring specialized subject matter expertise. In addition to my domain-specific knowledge, I have developed technical proficiency in Python, and I am adept at handling structured biomedical data, text annotation, and the quality assurance of AI outputs. This combination of domain expertise, technical skill, and hands-on labeling experience enables me to contribute meaningfully to projects in AI training, healthcare, and research-oriented applications.

Labeling Experience

Biomedical Data Annotation & AI Training Contributor

DoccanoTextQuestion AnsweringText Summarization

I contributed extensively to biomedical data annotation projects, encompassing clinical documents, genetic datasets, and microscopy imagery. My responsibilities extended beyond simple labeling; I was actively involved in evaluating, rating, and refining AI models, particularly within question answering and text summarization domains. My expertise in genetics, immunology, and clinical markers was instrumental in ensuring the accuracy and relevance of annotations. Additionally, I utilized specialized tools—including Label Studio, Doccano, and CVAT—to facilitate structured data and image labeling processes.

2024 - 2025

AI Training Data Annotator — NLP & LLM Tasks

Label StudioTextQuestion AnsweringText Summarization

Engaged extensively in large language model (LLM) training initiatives, encompassing prompt-response generation, text summarization, question formulation, and critical analysis of model outputs. Carried out annotation of both biomedical and general domain datasets, prioritizing clarity, precision, and strict adherence to task specifications. Leveraged subject-matter expertise to elevate data quality and supplied targeted feedback to refine the model fine-tuning process. Acquired substantive hands-on experience in preparing robust, high-quality training data tailored for advanced natural language processing applications.

2023 - 2025

Education

Work History