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J

Jacobi Dickerson

AI Training Specialist (DataMind Solutions LLC)

USA flagColumbus, OH, Usa
ExpertLabelboxScale AI

Key Skills

Software

LabelboxLabelbox
Scale AIScale AI

Top Subject Matter

Computer Vision
ML Model Training
Audio AI

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding Box
Polygon

Freelancer Overview

AI Training Specialist (DataMind Solutions LLC). Core strengths include Labelbox and Scale AI. Education includes Bachelor of Science, Alabama State University (2021) and High School Diploma, George W. Long High School (2017). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Polygon.

ExpertEnglish

Labeling Experience

Labelbox

AI Training Specialist (DataMind Solutions LLC)

LabelboxImageBounding Box
Led image and video annotation projects focused on bounding boxes, polygon segmentation, and semantic labeling using industry-standard platforms. Executed frame-by-frame video annotation and multi-object tracking for computer vision model training with YOLO v8 pipelines. Maintained rigorous quality assurance, achieving high inter-annotator agreement rates for diverse image and video data labeling tasks. • Utilized Labelbox and CVAT extensively for image and video annotation. • Developed annotation guidelines, ontologies, and labeling schemas in collaboration with machine learning engineers. • Managed both single-object and multi-object tracking in video datasets using DeepSORT and ByteTrack. • Supported audio annotation for speech recognition and event detection with Audino.

Led image and video annotation projects focused on bounding boxes, polygon segmentation, and semantic labeling using industry-standard platforms. Executed frame-by-frame video annotation and multi-object tracking for computer vision model training with YOLO v8 pipelines. Maintained rigorous quality assurance, achieving high inter-annotator agreement rates for diverse image and video data labeling tasks. • Utilized Labelbox and CVAT extensively for image and video annotation. • Developed annotation guidelines, ontologies, and labeling schemas in collaboration with machine learning engineers. • Managed both single-object and multi-object tracking in video datasets using DeepSORT and ByteTrack. • Supported audio annotation for speech recognition and event detection with Audino.

2023 - Present
Scale AI

Data Annotation Analyst (CogniLabel Technologies)

Scale AIImagePolygon
Annotated large-scale image datasets using polygon segmentation, keypoint labeling, and classification tags on advanced annotation platforms. Supported natural language processing annotation including named entity recognition, intent labeling, and sentiment tagging projects. Tracked multi-object video sequences and delivered datasets in COCO and YOLO formats for autonomous vehicle and surveillance AI training. • Utilized Scale AI and V7 Darwin for image data annotation workflows. • Applied Prodigy for NLP tasks such as NER and sentiment tagging. • Prepared and validated datasets for YOLO v5 and v8 model training. • Ensured consistent ID assignment for video tracking tasks.

Annotated large-scale image datasets using polygon segmentation, keypoint labeling, and classification tags on advanced annotation platforms. Supported natural language processing annotation including named entity recognition, intent labeling, and sentiment tagging projects. Tracked multi-object video sequences and delivered datasets in COCO and YOLO formats for autonomous vehicle and surveillance AI training. • Utilized Scale AI and V7 Darwin for image data annotation workflows. • Applied Prodigy for NLP tasks such as NER and sentiment tagging. • Prepared and validated datasets for YOLO v5 and v8 model training. • Ensured consistent ID assignment for video tracking tasks.

2022 - 2023
Labelbox

Junior Annotation Technician (BrightData AI)

LabelboxImageBounding Box
Performed image classification and bounding box annotation to create retail product training datasets for computer vision applications. Conducted audio transcription and time-stamping to advance conversational AI and voice assistant performance. Supported data quality assurance by flagging annotation inconsistencies and edge cases. • Created labeled image datasets for use in retail product identification. • Produced transcribed audio data for conversational AI models. • Communicated edge cases to quality assurance supervisors. • Delivered accurate annotations for downstream AI pipelines.

Performed image classification and bounding box annotation to create retail product training datasets for computer vision applications. Conducted audio transcription and time-stamping to advance conversational AI and voice assistant performance. Supported data quality assurance by flagging annotation inconsistencies and edge cases. • Created labeled image datasets for use in retail product identification. • Produced transcribed audio data for conversational AI models. • Communicated edge cases to quality assurance supervisors. • Delivered accurate annotations for downstream AI pipelines.

2021 - 2021

Education

A

Alabama State University

Bachelor of Science, Computer Information Systems

Bachelor of Science
2017 - 2021
G

George W. Long High School

High School Diploma, General Education

High School Diploma
2013 - 2017

Work History

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