Michael B.

Key Skills

Software

Labelbox

Appen

CVAT

Top Subject Matter

Computer Vision (YOLO)

Object Tracking

Multimodal AI Training

Top Data Types

Image

Video

Audio

Top Task Types

Object Detection

Tracking

Bounding Box

Classification

Transcription

Segmentation

Data Collection

Freelancer Overview

Training Specialist / Data Labeling Specialist (Freelance / Project-Based) — 3 years experience. Core strengths include Labelbox. Education includes Diploma in Electrical Engineering, Wayne State University (2021) and Computer Training Certificate, Wayne State University (2022). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Object Detection, Tracking, and Bounding Box.

Labeling Experience

AI Audio Data Labeling & Speech Annotation Project

AudioTranscription

Worked on AI audio data labeling and annotation tasks focused on improving AI systems for speech recognition and audio understanding. Responsibilities included transcribing audio files, segmenting speech into labeled sections, and identifying speakers and background sounds based on provided guidelines. Performed audio classification tasks such as distinguishing between speech, music, environmental noise, and mixed audio sources. Ensured high accuracy by carefully reviewing recordings, correcting mislabels, and maintaining consistency across datasets. Followed strict quality assurance standards including guideline adherence, timestamp accuracy, and label consistency to improve dataset reliability for AI training. Developed experience in handling diverse audio samples with varying quality, accents, and recording environments.

2025 - Present

AI Video Data Labeling & Content Annotation Project

VideoObject Detection

Worked on AI video data labeling and annotation tasks aimed at improving machine learning model performance in video understanding systems. Responsibilities included reviewing and tagging video content based on predefined guidelines such as scene classification, object/action identification, and content categorization. Ensured high-quality dataset preparation by maintaining consistency, accuracy, and adherence to labeling standards. Performed quality checks on annotated video segments to reduce errors and improve model training reliability. Gained experience working with structured annotation workflows commonly used in AI training pipelines.

2024 - 2025

AI Data Annotation & Machine Learning Training Assistant

ImageBounding Box

Worked as a Data Annotation and AI Training Assistant supporting machine learning model development through high-quality data labeling and classification tasks. The project involved reviewing, tagging, and organizing large datasets including text, images, and structured data to improve AI model accuracy and performance. Responsibilities included labeling datasets according to strict guidelines, identifying patterns in data, correcting inconsistencies, and ensuring accuracy in training inputs used for supervised learning models. Performed quality checks on annotated data to maintain consistency and reduce error rates across large-scale datasets. Worked on datasets used for AI applications such as natural language processing (NLP), image recognition, and content classification. Ensured all tasks met project standards for precision, consistency, and timely delivery while working independently in a remote environment.

2022 - 2024

Training Specialist / Data Labeling Specialist (Freelance / Project-Based) — 3 years experience

LabelboxImageObject Detection

Provided high-quality image, video, and audio annotations for AI training datasets in a freelance, project-based role over a multi-year period. Labeled objects using YOLO-style workflows and generated consistent tracking annotations with accurate bounding boxes. Performed dataset quality control to ensure structured, accurate inputs for downstream machine learning model training. • Image annotation for object detection tasks • Video tracking and bounding box labeling • Audio labeling as part of multimodal dataset preparation • Dataset accuracy and consistency checks for training pipelines

2021 - 2022

Education

Work History