Timothy P.

Key Skills

Software

Labelbox

CVAT

Supervisely

Roboflow

Scale AI

V7 Labs

Dataloop

Top Subject Matter

Machine learning and computer vision (image/video/audio/text annotation, tracking, transcription)

Media & Entertainment - Video frame annotation & object tracking

Education & EdTech - AI training pipelines & machine learning fundamentals

Top Data Types

Image

Video

Audio

Text

Top Task Types

Object Detection

Segmentation

Point/Key Point

Tracking

Transcription

Classification

Bounding Box

Freelancer Overview

AI Training Specialist (Freelance/Remote Contracts). Core strengths include Labelbox, CVAT, and Supervisely. Education includes Master of Advanced Cyber Security, SANS Technology Institute and High School Education, Asheville Secondary School. AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Object Detection, Segmentation, and Point.

Labeling Experience

Text Annotation and NLP Data Labeling for AI Language Models

TextClassification

Performed text annotation and labeling tasks for AI and natural language processing models. Classified text datasets, labeled entities, reviewed conversational data, and tagged content for sentiment analysis and moderation workflows. Assisted in preparing structured datasets for chatbot training, language understanding, and machine learning applications. Maintained high annotation accuracy, consistency, and quality assurance standards while working with large-scale text datasets and client guidelines.

2024 - Present

High-Precision Multimodal Data Annotation for Computer Vision Models

AudioTranscription

Performed audio annotation, transcription, and classification tasks for AI speech and language models. Labeled spoken audio data, identified speech patterns, categorized sound segments, and reviewed transcription accuracy for machine learning training datasets. Worked with multilingual and real-world conversational audio while maintaining high annotation quality and consistency. Used annotation and audio processing tools to support speech recognition, voice assistant, and NLP model development.

2023 - Present

High-Precision Multimodal Data Annotation for Computer Vision Models

VideoBounding Box

Performed high-precision video annotation and object tracking for AI and computer vision training datasets. Labeled moving objects across video frames using bounding boxes, polygon annotation, and tracking techniques to support object detection and motion analysis models. Worked with large-scale datasets involving pedestrians, vehicles, traffic flow, and real-world surveillance scenarios. Maintained annotation consistency, reviewed dataset quality, and followed strict client guidelines using tools such as CVAT, Labelbox, YOLO, Supervisely, and Roboflow. Assisted in preparing structured datasets for machine learning and autonomous vision systems.

2023 - 2026

High-Precision Multimodal Data Annotation for Computer Vision Models

ImageBounding Box

Worked on large-scale AI training and data labeling projects involving image and video annotation for computer vision models. Performed bounding box labeling, semantic segmentation, polygon annotation, and object tracking using tools such as Labelbox, CVAT, YOLO, Supervisely, and Roboflow. Reviewed annotation accuracy, maintained dataset consistency, and followed strict quality assurance guidelines. Assisted in preparing datasets for object detection, motion tracking, and AI model training workflows across surveillance, retail analytics, and automation projects.

2023 - 2025

Education

Work History