Daniel Dantas Seal

Key Skills

Software

Appen

CVAT

Doccano

LabelImg

Label Studio

Remotasks

Roboflow

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Bounding Box

Classification

Object Detection

Prompt Response Writing SFT

Text Summarization

Freelancer Overview

With over 9 years of experience in IT, data analysis, and system development, I specialize in precise and efficient data labeling across text, image, audio, and video. I have hands-on expertise with leading annotation tools such as Label Studio, CVAT, Roboflow, Doccano, and Scale AI (formerly Remotasks), ensuring high-quality labeled datasets for AI model training. My background includes working on classification, bounding box, object detection, and prompt-response evaluation tasks. Fluent in Portuguese and proficient in English, I have collaborated on both national and international projects, delivering accurate annotations under tight deadlines. My technical skills in Python, JavaScript, SQL, and API integration allow me to optimize annotation workflows, automate repetitive tasks, and ensure consistent data quality. I am committed to contributing to the growth of AI systems with a strong focus on precision, efficiency, and scalability

Labeling Experience

Retail Shelf Object Detection

CVATImageBounding BoxSegmentation

Annotated retail shelf images to identify and classify products for inventory detection AI systems. Used bounding boxes and segmentation to ensure precise object localization. Delivered high-quality datasets with accuracy scores above 97%, enabling improved detection performance in production models.

Annotated retail shelf images to identify and classify products for inventory detection AI systems. Used bounding boxes and segmentation to ensure precise object localization. Delivered high-quality datasets with accuracy scores above 97%, enabling improved detection performance in production models.

2024 - 2024

Text Summarization & Named Entity Recognition (NER)

DoccanoTextEntity Ner ClassificationClassification

Labeled and tagged entities such as people, organizations, and locations in large text datasets. Produced concise summaries from long-form articles to improve training datasets for NLP models. Maintained strict adherence to labeling guidelines to ensure consistency and high model accuracy.

Labeled and tagged entities such as people, organizations, and locations in large text datasets. Produced concise summaries from long-form articles to improve training datasets for NLP models. Maintained strict adherence to labeling guidelines to ensure consistency and high model accuracy.

2023 - 2023

Audio Transcription & Emotion Labeling

Scale AIAudioClassificationEmotion Recognition

Transcribed customer service calls and annotated emotional tone, intent, and keywords. Labeled speech segments to train speech recognition and sentiment analysis models. Maintained transcription accuracy above 95%, following strict quality assurance guidelines.

Transcribed customer service calls and annotated emotional tone, intent, and keywords. Labeled speech segments to train speech recognition and sentiment analysis models. Maintained transcription accuracy above 95%, following strict quality assurance guidelines.

2023 - 2023

Prompt + Response Evaluation for LLMs

Scale AITextText GenerationEvaluation Rating

Evaluated AI-generated text responses for correctness, clarity, and relevance in both Portuguese and English. Created prompt variations and rated outputs for accuracy, tone, and completeness. Provided structured feedback for fine-tuning LLM performance.

Evaluated AI-generated text responses for correctness, clarity, and relevance in both Portuguese and English. Created prompt variations and rated outputs for accuracy, tone, and completeness. Provided structured feedback for fine-tuning LLM performance.

2023 - 2023

E-commerce Product Image Classification

Scale AIImageBounding BoxClassification

Annotated and classified thousands of product images for marketplace AI search optimization. Applied consistent labeling guidelines to ensure dataset quality, using bounding boxes for object detection and category tagging for classification. Delivered high-accuracy results (>98%) to meet quality benchmarks.

Annotated and classified thousands of product images for marketplace AI search optimization. Applied consistent labeling guidelines to ensure dataset quality, using bounding boxes for object detection and category tagging for classification. Delivered high-accuracy results (>98%) to meet quality benchmarks.

2023 - 2023

Education

Work History