Jasmin Sylvester

Key Skills

Software

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Classification

Object Detection

Prompt Response Writing SFT

Freelancer Overview

I am a detail-oriented professional with extensive experience in customer service, technical support, and data-driven environments. My background includes handling complex customer inquiries, accurately processing transactions, and managing sensitive information with precision. I have developed strong analytical and communication skills through roles that required troubleshooting technical issues, using remote support tools, and maintaining accurate records. I am a quick learner, self-motivated, and thrive in roles that require accuracy and consistency—qualities essential for data labeling and AI training data tasks. My experience in retail and technical support has honed my ability to follow guidelines, work efficiently under pressure, and ensure high-quality results in fast-paced environments.

Labeling Experience

Data Annotation Specialist

Scale AIImageClassificationObject Detection

Worked as a Data Annotation Specialist on large-scale retail and e-commerce image datasets, focusing on high-accuracy object detection and segmentation tasks. My responsibilities included drawing precise bounding boxes and polygons around products, performing semantic segmentation, and classifying items across various retail categories such as clothing, electronics, groceries, and home goods. I handled high-volume datasets consisting of thousands of images per batch, ensuring consistency and accuracy across all annotations. The work required strong attention to detail, especially when labeling overlapping objects, fine edges, and small product features. I followed strict quality guidelines and project instructions, maintaining accuracy benchmarks above required thresholds. I also participated in peer reviews, corrected flagged annotations, and adapted quickly to updated labeling rules. My work supported machine learning models used for product recognition, visual search, and inventor

Worked as a Data Annotation Specialist on large-scale retail and e-commerce image datasets, focusing on high-accuracy object detection and segmentation tasks. My responsibilities included drawing precise bounding boxes and polygons around products, performing semantic segmentation, and classifying items across various retail categories such as clothing, electronics, groceries, and home goods. I handled high-volume datasets consisting of thousands of images per batch, ensuring consistency and accuracy across all annotations. The work required strong attention to detail, especially when labeling overlapping objects, fine edges, and small product features. I followed strict quality guidelines and project instructions, maintaining accuracy benchmarks above required thresholds. I also participated in peer reviews, corrected flagged annotations, and adapted quickly to updated labeling rules. My work supported machine learning models used for product recognition, visual search, and inventor

2022 - 2024

Education

Work History