Antwann H.

Key Skills

Software

Labelbox

Label Studio

CVAT

Top Subject Matter

Computer Vision

Audio Processing

Speech Recognition

Top Data Types

Image

Video

Audio

Top Task Types

Bounding Box

Object Detection

Classification

Point/Key Point

Freelancer Overview

Senior AI Training Specialist. Core strengths include Labelbox and YOLO. Education includes Bachelor of Science, Boise State University (2013) and High School Diploma, Baker High School (2009). AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Object Detection, and Classification.

Labeling Experience

Senior AI Training Specialist

LabelboxImageBounding Box

As Senior AI Training Specialist, managed and executed image, video, and audio annotation projects for AI model training. Led efforts in object tracking, segmentation, classification, and bounding box annotation, ensuring high-quality datasets. Conducted dataset accuracy reviews and provided training for junior annotators on labeling standards. • Managed large multi-modal annotation projects across visual and audio domains. • Used Labelbox, CVAT, YOLO, and Supervisely to perform complex annotation workflows. • Oversaw quality assurance and model-aligned data preparation. • Collaborated closely with AI engineers to optimize model results.

2022 - Present

high precision multimodal data annotation for computer vision model

AudioTranscription

Worked on high-precision audio annotation and transcription projects for AI and speech recognition model training. Performed audio segmentation, speech-to-text transcription, speaker identification, sound classification, and timestamp annotation across large-scale multilingual audio datasets. Ensured high annotation accuracy by following strict quality assurance guidelines, reviewing completed tasks, and correcting inconsistencies in labeled audio data. Assisted in preparing training datasets for natural language processing (NLP), voice recognition, and conversational AI systems. Used industry-standard annotation tools and workflows to manage audio datasets efficiently while maintaining project deadlines and data quality standards.

2020 - Present

High precision multimodal data annotation for computer vision model

VideoObject Detection

Worked on high-precision video annotation projects for computer vision and AI model training. Performed frame-by-frame object detection, object tracking, bounding box annotation, segmentation, and activity classification across large-scale video datasets. Used annotation tools such as Labelbox, CVAT, and YOLO workflows to ensure accurate labeling and consistent tracking of moving objects. Handled complex video datasets involving people, vehicles, road scenes, and real-world environments to support machine learning and autonomous AI systems. Maintained strict quality assurance standards by reviewing annotations, correcting inconsistencies, and following detailed project guidelines to achieve high dataset accuracy and reliability. Collaborated with AI teams and project managers to improve annotation efficiency, dataset organization, and model performance through accurate and scalable video labeling processes.

2019 - Present

AI Video, Image & Audio Annotation Specialist

ImageBounding Box

Worked on large-scale AI training and data labeling projects involving image, video, and audio datasets for machine learning and computer vision applications. Performed high-quality annotations including bounding boxes, object tracking, semantic segmentation, classification, and audio transcription to support AI model development and training. Handled datasets containing thousands of multimedia files for object detection and tracking systems using tools such as Labelbox, YOLO, CVAT, and Supervisely. Maintained strict annotation accuracy standards through quality assurance reviews, guideline compliance, and validation processes. Collaborated with AI engineers and project managers to improve dataset quality, labeling consistency, and workflow efficiency for production-ready AI models.

2019 - Present

AI Data Annotation Specialist

ImageObject Detection

In the role of AI Data Annotation Specialist, annotated datasets for computer vision and speech recognition AI projects. Focused on object detection, audio transcription, tracking, and metadata tagging using YOLO frameworks. Maintained high annotation accuracy and improved workflow efficiency throughout multiple projects. • Annotated images, video frames, and audio for training AI models. • Utilized YOLO, Labelbox, and Roboflow for diverse labeling tasks. • Conducted object detection and audio transcription for speech recognition. • Enhanced team productivity through better dataset organization.

2018 - 2022

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Education

Work History