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K
Kevin M.

Kevin M.

AI Training Specialist

USA flagLos Angeles, Usa

Key Skills

Software

LabelboxLabelbox
CVATCVAT

Top Subject Matter

Machine Learning Training Data
Dataset Preparation and Annotation
Legal Services & Contract Review

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Object DetectionObject Detection
ClassificationClassification

Freelancer Overview

AI Training Specialist. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Labelbox, YOLO, and CVAT. Education includes Bachelor of Science, California State University, Los Angeles (2022) and Diploma, Los Angeles City College (2018). AI-training focus includes data types such as Image and labeling workflows including Object Detection and Classification.

Labeling Experience

Labelbox

AI Training Specialist

LabelboxLabelboxImageImageObject DetectionObject Detection

As an AI Training Specialist, I annotated and validated large-scale datasets across image, video, and audio domains. I maintained extremely high annotation accuracy, supporting the reduction of model error rates during training. My work involved executing object detection, segmentation, and tracking tasks using advanced annotation tools. • Annotated and validated 150,000+ data points. • Maintained 98–99% annotation accuracy across all projects. • Performed multi-object tracking across 10,000+ video frames. • Collaborated with machine learning engineers to refine annotation guidelines.

2023 - Present
Labelbox

Data Annotation Assistant

LabelboxLabelboxImageImageClassificationClassification

As a Data Annotation Assistant, I labeled and processed a high volume of images and audio samples for classification and detection tasks. My focus was on improving annotation consistency and supporting structured dataset preparation for AI pipelines. Consistent, high-quality data delivery and standardization of practices were central to my role. • Labeled and processed 80,000+ images and audio samples. • Improved annotation consistency by 25% across datasets. • Supported AI pipeline preparation with structured and clean data. • Maintained over 97% annotation accuracy within strict deadlines.

2022 - 2023

Education

C

California State University, Los Angeles

Bachelor of Science, Computer Science

Bachelor of Science
2018 - 2022
L

Los Angeles City College

Diploma, Information Technology

Diploma
2016 - 2018

Work History

C

CA

Los Angeles

Location not specified
2023 - Present