Angelo Quebrar

Key Skills

Software

Labelbox

Mercor

Mindrift

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Label Types

Bounding Box

Classification

Computer Programming Coding

Entity Ner Classification

Polygon

Segmentation

Text Summarization

Freelancer Overview

Detail-oriented Data Labeling / Data Annotation Specialist with hands-on experience delivering high-quality labeled datasets using Labelbox and Scale AI for computer vision and NLP use cases. Comfortable working with clear guidelines, edge cases, and tight QA standards to produce consistent annotations at scale. Strong technical background (8+ years in software and data-driven systems) helps me understand how labeled data is used in ML pipelines, follow complex instructions accurately, and communicate issues early. I’m reliable with repetitive work, fast to learn new taxonomies, and consistent with accuracy-focused output.

Labeling Experience

Computer Vision Annotation

LabelboxImageBounding BoxPolygon

Annotated large batches of image data for computer vision model training. Created tight bounding boxes and polygon/segmentation masks for product/object categories following detailed client guidelines. Handled edge cases like partial occlusion, truncation, reflections, and overlapping objects to keep labels consistent. Performed self-QA on each batch (spot checks, label consistency review, class balance checks) and applied feedback quickly to maintain high accuracy and reduce rework.

Annotated large batches of image data for computer vision model training. Created tight bounding boxes and polygon/segmentation masks for product/object categories following detailed client guidelines. Handled edge cases like partial occlusion, truncation, reflections, and overlapping objects to keep labels consistent. Performed self-QA on each batch (spot checks, label consistency review, class balance checks) and applied feedback quickly to maintain high accuracy and reduce rework.

2025

NLP & Text Classification / Entity Tagging

Scale AITextEntity Ner ClassificationClassification

Labeled and reviewed text datasets for NLP/LLM training using strict labeling rules. Completed tasks such as intent/category classification and entity tagging (names, locations, products, dates, etc.), keeping annotations consistent across edge cases and ambiguous examples. Followed QA standards closely, rechecked low-confidence samples, and corrected labels based on reviewer feedback to maintain stable quality over time and meet daily/weekly throughput targets.

Labeled and reviewed text datasets for NLP/LLM training using strict labeling rules. Completed tasks such as intent/category classification and entity tagging (names, locations, products, dates, etc.), keeping annotations consistent across edge cases and ambiguous examples. Followed QA standards closely, rechecked low-confidence samples, and corrected labels based on reviewer feedback to maintain stable quality over time and meet daily/weekly throughput targets.

2024

Education

Work History