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Jorexe Jean Baptiste Dan

Jorexe Jean Baptiste Dan

Data Annotator & AI Training Specialist

Cotonou, A
$12.00/hrExpertCVATDoccanoLabelbox

Key Skills

Software

CVATCVAT
DoccanoDoccano
LabelboxLabelbox
Label StudioLabel Studio
RoboflowRoboflow
SuperAnnotateSuperAnnotate
Internal/Proprietary Tooling
V7 LabsV7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Classification
Entity Ner Classification
Object Detection
Question Answering
Text Generation

Freelancer Overview

Passionate about artificial intelligence and data quality, I actively contribute to the annotation and structuring of datasets used for AI model training. I have developed skills in text classification, object detection in images, response evaluation for AI-generated content, and linguistic proofreading. I regularly use tools such as Label Studio, Labelbox, CVAT, and Doccano to ensure accurate, consistent, and guideline-compliant annotations. With strong attention to detail and a methodical approach, I focus on maintaining data integrity and annotation quality — key factors for effective machine learning models. My versatility allows me to work on multiple data types (text, image, video) and adapt to multilingual environments. I am motivated to contribute to innovative AI projects that combine precision, quality, and meaningful impact.

ExpertFrenchGermanYorubaEnglishSpanishChinese Mandarin

Labeling Experience

V7 Labs

Video Annotation for Action Recognition

V7 LabsVideoBounding BoxAction Recognition
Labeled sequences of human and vehicle actions in short video clips for a real-time behavior detection project. Used bounding boxes and temporal tagging to mark action start and end frames. Collaborated in a small remote team using agile project tracking tools.

Labeled sequences of human and vehicle actions in short video clips for a real-time behavior detection project. Used bounding boxes and temporal tagging to mark action start and end frames. Collaborated in a small remote team using agile project tracking tools.

2025 - 2025
Label Studio

Smartphone Screen Defect Segmentation

Label StudioImagePolygonSegmentation
Annotated high-resolution 20MP smartphone screens, segmenting all defective pixels while excluding background. Managed pre-annotations, verified consistency across images, and performed QA to ensure precise segmentation for AI training. Annotated ~200 images per batch, with average speed 20–25 images/hour, including QA.

Annotated high-resolution 20MP smartphone screens, segmenting all defective pixels while excluding background. Managed pre-annotations, verified consistency across images, and performed QA to ensure precise segmentation for AI training. Annotated ~200 images per batch, with average speed 20–25 images/hour, including QA.

2024 - 2024
Label Studio

Image Annotation for Object Detection – EPI (Helmets, Vests, Gloves)

Label StudioImageBounding BoxPolygon
Annotated over 5,000 images for multiple short-term client projects, marking each EPI individually (helmets, vests, gloves) using bounding boxes and polygons. Ensured full inclusion of each object and exclusion of background, applied IoU metrics for quality assurance, and corrected pre-annotations when needed.

Annotated over 5,000 images for multiple short-term client projects, marking each EPI individually (helmets, vests, gloves) using bounding boxes and polygons. Ensured full inclusion of each object and exclusion of background, applied IoU metrics for quality assurance, and corrected pre-annotations when needed.

2024 - 2024

Evaluation and Response Refinement for AI Chatbots

Internal Proprietary ToolingTextText GenerationEvaluation Rating
Evaluated AI chatbot outputs to assess tone, relevance, and factual consistency. Wrote improved responses and fine-tuned prompts to enhance assistant behavior and user satisfaction. Maintained structured feedback logs for model retraining cycles.

Evaluated AI chatbot outputs to assess tone, relevance, and factual consistency. Wrote improved responses and fine-tuned prompts to enhance assistant behavior and user satisfaction. Maintained structured feedback logs for model retraining cycles.

2024 - 2024

Audio Transcription & Quality Review for AI Speech Models

Internal Proprietary ToolingAudioSegmentationTranslation Localization
Between 2023 and 2024, I contributed to several audio annotation tasks involving French speech. My work included: • Word-level transcription of short and long audio clips • Detection of hesitations, mispronunciations, and speech errors • Segmentation of utterances into phonetic units • Quality verification and correction of pre-transcribed datasets • Rating ASR model outputs for accuracy and fluency I also participated in pilot tasks for ASR dataset preparation, where I reviewed children’s and adult speech recordings to improve model robustness.

Between 2023 and 2024, I contributed to several audio annotation tasks involving French speech. My work included: • Word-level transcription of short and long audio clips • Detection of hesitations, mispronunciations, and speech errors • Segmentation of utterances into phonetic units • Quality verification and correction of pre-transcribed datasets • Rating ASR model outputs for accuracy and fluency I also participated in pilot tasks for ASR dataset preparation, where I reviewed children’s and adult speech recordings to improve model robustness.

2023 - 2024

Education

U

University of Abomey-Calavi

Bachelor's Degree, Computer Science

Bachelor's Degree
2021 - 2021

Work History

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