Melissa B.

Key Skills

Software

Labelbox

Scale AI

Dataloop

AWS SageMaker

CVAT

Top Subject Matter

Computer Vision

Object Detection and Tracking

Natural Language Processing

Top Data Types

Image

Video

Text

Audio

3D Sensor

Top Task Types

Bounding Box

Tracking

Entity (NER) Classification

Classification

Cuboid

Segmentation

Freelancer Overview

Senior Data Labeling Specialist. Core strengths include Labelbox, Scale AI, and Dataloop. Education includes Bachelor of Science, City University of New York (2018). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Tracking, and Entity (NER) Classification.

Labeling Experience

Freelance Data Labeling Specialist

LabelboxImageBounding Box

As a Freelance Data Labeling Specialist, I managed high-accuracy annotation workflows for various AI and machine learning projects. My primary focus was annotating and validating large-scale image and video datasets using advanced labeling techniques. I collaborated with teams remotely and supported dataset optimization and formatting for AI engineers. • Performed bounding box, polygon, semantic segmentation, instance segmentation, keypoint, and OCR annotation. • Labeled image, video, text, audio, LiDAR, and 3D point cloud data, supporting both computer vision and NLP domains. • Used leading software including Labelbox, CVAT, Roboflow, Supervisely, Scale AI, V7 Darwin, Dataloop, Amazon SageMaker Ground Truth, LabelImg, and RectLabel. • Ensured quality control and accuracy through consistent QA checks and annotation reviews.

2021 - Present

Freelance Data Annotator

CVATImageSegmentation

As a Freelance Data Annotator, I handled detailed image and video data annotation tasks for AI model training purposes. I annotated visual datasets for object detection, tracking systems, and semantic segmentation projects. Quality assurance for labeling consistency and project accuracy was a core aspect of my responsibilities. • Performed image and video annotation for object detection and tracking. • Assisted in semantic segmentation and OCR projects for AI training. • Used CVAT and Labelbox for large dataset labeling tasks. • Conducted detailed QA reviews to ensure annotation precision.

2018 - 2020

Education

Work History