Star Scade

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Video

Top Label Types

Bounding Box

Emotion Recognition

Object Detection

Point Key Point

Segmentation

Tracking

Freelancer Overview

I am an experienced AI training specialist with over three years of hands-on work in data labeling and annotation for computer vision and multimodal machine learning systems. My expertise includes annotating large-scale image, video, and audio datasets for tasks such as object detection, classification, segmentation, and video tracking, using tools like Labelbox and YOLO-based workflows. I am highly skilled at applying detailed guidelines to ensure accuracy and consistency, performing quality assurance checks, and collaborating in remote, review-driven environments. My background in computer science, combined with strong analytical skills and attention to detail, enables me to deliver reliable training data that supports robust model development and evaluation. I am comfortable adapting to new instructions and maintaining high standards in fast-paced, asynchronous teams.

Labeling Experience

Data Labelling & Annotation Specialist

LabelboxImageObject Detection

I labeled and annotated large-scale image, video, and audio datasets to support AI and machine learning model training. My tasks included object detection, classification, segmentation, and tracking for computer vision applications. I ensured annotation quality and consistency while using established guidelines. • Used Labelbox and YOLO-based workflows for supervised learning. • Performed frame-level video annotation and object tracking. • Conducted quality checks and resolved inconsistencies in dataset reviews. • Supported iterative dataset improvements based on feedback from QA and model evaluation.

I labeled and annotated large-scale image, video, and audio datasets to support AI and machine learning model training. My tasks included object detection, classification, segmentation, and tracking for computer vision applications. I ensured annotation quality and consistency while using established guidelines. • Used Labelbox and YOLO-based workflows for supervised learning. • Performed frame-level video annotation and object tracking. • Conducted quality checks and resolved inconsistencies in dataset reviews. • Supported iterative dataset improvements based on feedback from QA and model evaluation.

2022

Junior Data Annotation Analyst

LabelboxImageBounding Box

I annotated image and video datasets for supervised machine learning tasks, focusing on accuracy and consistency. My responsibilities involved creating bounding boxes, polygon annotations, and supporting object classification efforts. I participated in quality assurance reviews and annotation audits. • Assisted with bounding box creation and polygon annotation. • Supported video tracking across sequential frames. • Maintained high accuracy and productivity benchmarks. • Contributed to annotation team effectiveness and audit processes.

I annotated image and video datasets for supervised machine learning tasks, focusing on accuracy and consistency. My responsibilities involved creating bounding boxes, polygon annotations, and supporting object classification efforts. I participated in quality assurance reviews and annotation audits. • Assisted with bounding box creation and polygon annotation. • Supported video tracking across sequential frames. • Maintained high accuracy and productivity benchmarks. • Contributed to annotation team effectiveness and audit processes.

2021 - 2022

Education

Work History