Cervantes Fernando

Key Skills

Software

Label Studio

Top Subject Matter

Business and conversational content

Healthcare & Medical Data Annotation

AI Data Annotator

Top Data Types

Text

Video

Top Task Types

Transcription

Freelancer Overview

Freelance Transcriptionist & Data Entry Specialist. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio. Education includes Master's Degree, University Name (2019). AI-training focus includes data types such as Text and labeling workflows including Transcription.

Labeling Experience

Medical Text Annotation for Clinical Data Analysis

TextSegmentation

Worked on annotating and segmenting medical and clinical text data for use in AI model training. The project involved identifying and labeling key entities such as symptoms, diagnoses, medications, procedures, and patient outcomes from unstructured clinical notes and healthcare documents. Performed text segmentation by breaking down complex medical reports into meaningful units (e.g., sentences, phrases, and labeled entities) to improve downstream NLP tasks such as classification and information extraction. Handled datasets consisting of thousands of records, ensuring consistency and accuracy across annotations. Followed strict annotation guidelines and schemas (including medical terminology standards) to maintain high-quality outputs. Applied quality control measures such as: Double-checking annotations for accuracy and consistency Reviewing edge cases and ambiguous medical terms Maintaining inter-annotator agreement standards Using feedback loops to continuously improve labeling quality

Worked on annotating and segmenting medical and clinical text data for use in AI model training. The project involved identifying and labeling key entities such as symptoms, diagnoses, medications, procedures, and patient outcomes from unstructured clinical notes and healthcare documents. Performed text segmentation by breaking down complex medical reports into meaningful units (e.g., sentences, phrases, and labeled entities) to improve downstream NLP tasks such as classification and information extraction. Handled datasets consisting of thousands of records, ensuring consistency and accuracy across annotations. Followed strict annotation guidelines and schemas (including medical terminology standards) to maintain high-quality outputs. Applied quality control measures such as: Double-checking annotations for accuracy and consistency Reviewing edge cases and ambiguous medical terms Maintaining inter-annotator agreement standards Using feedback loops to continuously improve labeling quality

2024 - Present

Text Data Annotation & Segmentation for NLP Models

TextSegmentation

Worked on data labeling and annotation tasks focused on training Natural Language Processing (NLP) models. Responsibilities included segmenting and labeling text data such as conversations, sentences, and structured documents. Performed tasks such as: Text segmentation into meaningful units (phrases, sentences, entities) Categorizing conversational data by intent and context Annotating entities like names, symptoms, financial terms, and product categories Cleaning and preparing raw text for annotation Handled large datasets with thousands of entries while maintaining high accuracy and consistency. Followed strict annotation guidelines similar to platforms like Remotasks and Appen.

Worked on data labeling and annotation tasks focused on training Natural Language Processing (NLP) models. Responsibilities included segmenting and labeling text data such as conversations, sentences, and structured documents. Performed tasks such as: Text segmentation into meaningful units (phrases, sentences, entities) Categorizing conversational data by intent and context Annotating entities like names, symptoms, financial terms, and product categories Cleaning and preparing raw text for annotation Handled large datasets with thousands of entries while maintaining high accuracy and consistency. Followed strict annotation guidelines similar to platforms like Remotasks and Appen.

2023 - Present

Freelance Transcriptionist & Data Entry Specialist

Label StudioTextTranscription

As a freelance transcriptionist and data entry specialist, I labeled and transcribed large volumes of audio and video data for various projects. My work included accurate transcription, categorization, and verification while adhering to provided guidelines. I ensured high-quality annotation and delivered consistent results supporting AI model training. • Transcribed and annotated audio and video datasets for business clients. • Categorized, labeled, and quality-checked textual and audio content. • Used Label Studio, Appen Annotate, and similar tools for annotation projects. • Maintained performance across multiple remote platforms with minimal supervision.

As a freelance transcriptionist and data entry specialist, I labeled and transcribed large volumes of audio and video data for various projects. My work included accurate transcription, categorization, and verification while adhering to provided guidelines. I ensured high-quality annotation and delivered consistent results supporting AI model training. • Transcribed and annotated audio and video datasets for business clients. • Categorized, labeled, and quality-checked textual and audio content. • Used Label Studio, Appen Annotate, and similar tools for annotation projects. • Maintained performance across multiple remote platforms with minimal supervision.

2021 - Present

Education

Work History