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J
Jordan G.

Jordan G.

Data Labeling Specialist

USA flagkingsville, Usa

Key Skills

Software

No software listed

Top Subject Matter

computer science

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
Point/Key PointPoint/Key Point
PolylinePolyline
Entity (NER) ClassificationEntity (NER) Classification
SegmentationSegmentation

Freelancer Overview

Experienced Data Labeling Specialist with 14+ years of experience supporting AI, machine learning, computer vision, NLP, speech recognition, geospatial intelligence, and medical imaging projects. Skilled in large-scale data annotation, quality assurance, dataset preparation, taxonomy development, and model training support across diverse data types including text, images, video, audio, point cloud, documents, and satellite imagery. Adept at delivering high-accuracy annotations while meeting strict quality and productivity targets in fast-paced remote environments. CORE COMPETENCIES • Data Annotation & Labeling • AI Training Data Preparation • Quality Assurance & Validation • Computer Vision Annotation • Natural Language Processing (NLP) • Medical Imaging Annotation • Satellite Imagery Analysis • Speech & Audio Labeling • Video Annotation • Point Cloud Annotation • OCR Correction • Named Entity Recognition (NER) • Sentiment Analysis • Object Detection & Tracking • Semantic Segmentation • Instance Segmentation • Data Classification • Dataset Management • Annotation Guidelines Development • Data Quality Auditing PROFESSIONAL EXPERIENCE Freelance Data Labeling Specialist Self-Employed | Remote 2012 – Present Provided high-quality annotation services for AI and machine learning projects across multiple industries including healthcare, autonomous systems, geospatial intelligence, document processing, and natural language processing. Document Annotation • Performed entity extraction, document classification, OCR correction, and table labeling tasks. • Created structured datasets for machine learning and information extraction systems. • Annotated complex documents for grounded question-answering applications. Image Annotation • Generated precise bounding boxes, polygons, keypoints, and image classifications. • Labeled large-scale datasets for object detection and computer vision models. • Applied attribute tagging and quality control procedures to ensure annotation consistency. Segmentation Projects • Produced semantic, instance, and panoptic segmentation masks. • Conducted pixel-level quality assurance reviews. • Supported training datasets for advanced computer vision applications. Video Annotation • Performed frame-by-frame annotation and quality verification. • Completed object tracking and temporal labeling tasks. • Annotated action recognition datasets for machine learning systems. Text Annotation & NLP • Executed Named Entity Recognition (NER), sentiment analysis, text classification, and relation extraction tasks. • Annotated multilingual datasets supporting NLP models across multiple languages. • Maintained annotation consistency according to project-specific guidelines. Speech & Audio Labeling • Conducted audio transcription and speaker diarization projects. • Labeled audio events and phonetic datasets for speech recognition systems. • Reviewed and validated audio datasets to maintain high accuracy rates. Time Series Annotation • Annotated sensor and event-based datasets. • Performed anomaly detection labeling and signal classification. • Supported predictive analytics and forecasting model development. Point Cloud Annotation • Created 3D cuboid annotations and point cloud segmentation. • Performed sensor fusion labeling and object tracking tasks. • Supported autonomous vehicle and robotics datasets. Medical Imaging Annotation • Annotated CT and MRI scans for machine learning applications. • Conducted pathology markup, organ delineation, and radiology quality reviews. • Ensured compliance with project-specific medical annotation guidelines. Satellite Imagery Annotation • Performed land cover mapping and building footprint annotation. • Conducted object detection and change detection labeling. • Supported geospatial AI and Earth observation projects. Key Achievements • Successfully completed thousands of annotation hours across multiple AI domains. • Consistently maintained high annotation accuracy and quality standards. • Supported the development of training datasets used in machine learning and deep learning systems. • Worked independently across multiple concurrent projects while meeting strict deadlines. EDUCATION Master of Science (M.S.), Computer Science University of Florida 2012 Bachelor of Science (B.S.), Computer Science University of Pennsylvania 2015 TECHNICAL SKILLS Annotation Types • Bounding Boxes • Polygon Annotation • Keypoint Annotation • Semantic Segmentation • Instance Segmentation • Panoptic Segmentation • Object Tracking • OCR Correction • Entity Extraction • NER Annotation • Sentiment Analysis • Relation Extraction • Audio Labeling • Medical Image Annotation • Satellite Image Annotation AI & Data Skills • Data Quality Assurance • Dataset Validation • Data Classification • Taxonomy Development • Annotation Guideline Adherence • AI Training Data Preparation • Machine Learning Dataset Curation Tools & Platforms • Labelbox • Scale AI • CVAT • SuperAnnotate • Doccano • Prodigy • Amazon SageMaker Ground Truth • V7 • Roboflow • Microsoft Excel • Google Sheets ADDITIONAL INFORMATION • Remote Work Experience • Cross-Functional Collaboration • Detail-Oriented Quality Control • Strong Written Communication • Deadline-Driven Performance • Independent Project Management

Labeling Experience

PROFESSIONAL EXPERIENCE Freelance Data Labeling Specialist Self-Employed | Remote 2012 – Present Provided high-quali

PROFESSIONAL EXPERIENCE Freelance Data Labeling Specialist Self-Employed | Remote 2012 – Present Provided high-quality annotation services for AI and machine learning projects across multiple industries including healthcare, autonomous systems, geospatial intelligence, document processing, and natural language processing. Document Annotation • Performed entity extraction, document classification, OCR correction, and table labeling tasks. • Created structured datasets for machine learning and information extraction systems. • Annotated complex documents for grounded question-answering applications. Image Annotation • Generated precise bounding boxes, polygons, keypoints, and image classifications. • Labeled large-scale datasets for object detection and computer vision models. • Applied attribute tagging and quality control procedures to ensure annotation consistency. Segmentation Projects • Produced semantic, instance, and panoptic segmentation masks. • Conducted pixel-level quality assurance reviews. • Supported training datasets for advanced computer vision applications. Video Annotation • Performed frame-by-frame annotation and quality verification. • Completed object tracking and temporal labeling tasks. • Annotated action recognition datasets for machine learning systems. Text Annotation & NLP • Executed Named Entity Recognition (NER), sentiment analysis, text classification, and relation extraction tasks. • Annotated multilingual datasets supporting NLP models across multiple languages. • Maintained annotation consistency according to project-specific guidelines. Speech & Audio Labeling • Conducted audio transcription and speaker diarization projects. • Labeled audio events and phonetic datasets for speech recognition systems. • Reviewed and validated audio datasets to maintain high accuracy rates. Time Series Annotation • Annotated sensor and event-based datasets. • Performed anomaly detection labeling and signal classification. • Supported predictive analytics and forecasting model development. Point Cloud Annotation • Created 3D cuboid annotations and point cloud segmentation. • Performed sensor fusion labeling and object tracking tasks. • Supported autonomous vehicle and robotics datasets. Medical Imaging Annotation • Annotated CT and MRI scans for machine learning applications. • Conducted pathology markup, organ delineation, and radiology quality reviews. • Ensured compliance with project-specific medical annotation guidelines. Satellite Imagery Annotation • Performed land cover mapping and building footprint annotation. • Conducted object detection and change detection labeling. • Supported geospatial AI and Earth observation projects. Key Achievements • Successfully completed thousands of annotation hours across multiple AI domains. • Consistently maintained high annotation accuracy and quality standards. • Supported the development of training datasets used in machine learning and deep learning systems. • Worked independently across multiple concurrent projects while meeting strict deadlines.

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Education

M

Master of Science (M.S.), Computer Science University of Florida 2012 Bachelor of Science (B.S.), Computer Science U

Master of Science (M.S.), Computer Science University of Florida 2012 Bachelor of Science (B.S.), Computer Science University of Pennsylvania 2015

Master of Science (M.S.), Computer Science University of Florida 2012 Bachelor of Science (B.S.), Computer Science University of Pennsylvania 2015
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Work History

C

Company not specified

TECHNICAL SKILLS Annotation Types • Bounding Boxes • Polygon Annotation • Keypoint Annotation • Semantic Segmentati

Location not specified
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