Marchelle Senado

Key Skills

Software

Appen

Telus

Top Subject Matter

Self driving car

NER Healthcare

Keypoints

Top Data Types

Image

Text

Top Task Types

Bounding Box

Polygon

Point Key Point

Segmentation

Cuboid

Entity Ner Classification

Classification

Prompt Response Writing SFT

Freelancer Overview

I have several years of hands-on experience in data annotation, content moderation, and quality assurance for AI training data projects. My work has involved tasks such as tagging job postings, performing named entity recognition (NER) in health and finance domains, translating prompts between English and Tagalog, and ensuring accurate labeling of text, images, and videos. I am skilled at reviewing user-generated content for adherence to platform policies and have led teams to improve annotation quality through coaching and feedback. My background also includes developing annotation guidelines and documenting QA procedures to maintain consistency and transparency across projects. I am passionate about delivering high-quality datasets that power reliable AI solutions.

Labeling Experience

Data Annotation

TelusTextEntity Ner ClassificationClassification

Telus International AI Achievements/Tasks • TAGGING - TO EVALUATE WHETHER OR NOT A JOB POSTING BELONGS IN AN ASSIGNED CATEGORY. • NAMED ENTITY RECOGNITION (NER) - ANNOTATION OF WORDS RELATED TO HEALTH AND FINANCE. • TRANSLATION - TRANSLATING WORD PROMPTS FROM ENGLISH TO TAGALOG. • CONTENT MODERATOR - REGULARLY REVIEWING USER-SUBMITTED CONTENT SUCH AS TEXT, IMAGES, VIDEOS, AND COMMENTS TO ASSESS ITS ADHERENCE TO PLATFORM POLICIES. THIS INCLUDES CHECKING FOR PROHIBITED CONTENT (E.G., HATE SPEECH, VIOLENCE, NUDITY), SPAM, AND OTHER VIOLATIONS.

Telus International AI Achievements/Tasks • TAGGING - TO EVALUATE WHETHER OR NOT A JOB POSTING BELONGS IN AN ASSIGNED CATEGORY. • NAMED ENTITY RECOGNITION (NER) - ANNOTATION OF WORDS RELATED TO HEALTH AND FINANCE. • TRANSLATION - TRANSLATING WORD PROMPTS FROM ENGLISH TO TAGALOG. • CONTENT MODERATOR - REGULARLY REVIEWING USER-SUBMITTED CONTENT SUCH AS TEXT, IMAGES, VIDEOS, AND COMMENTS TO ASSESS ITS ADHERENCE TO PLATFORM POLICIES. THIS INCLUDES CHECKING FOR PROHIBITED CONTENT (E.G., HATE SPEECH, VIOLENCE, NUDITY), SPAM, AND OTHER VIOLATIONS.

2017 - 2024

Data Annotation

AppenImageBounding BoxPolygon

• Bounding Box - The primary duty of a bounding box annotator is to manually draw accurate bounding boxes around objects of interest within images or frames of a video. • Segmentation - Semantic segmentation assigns a class label (such as "person," "car," "tree") to each pixel in an image, thus dividing the image into meaningful segments. • Cuboid - Drawing a three-dimensional bounding box around an object in a 3D scene to indicate its position, size, and orientation. • Key points - are used to annotate important features such as corners, joints, tips, or other identifiable landmarks that are crucial for understanding the structure or characteristics of an object. • Text Annotation - Labeling text with sentiment indicators such as positive, negative, or neutral sentiments.

• Bounding Box - The primary duty of a bounding box annotator is to manually draw accurate bounding boxes around objects of interest within images or frames of a video. • Segmentation - Semantic segmentation assigns a class label (such as "person," "car," "tree") to each pixel in an image, thus dividing the image into meaningful segments. • Cuboid - Drawing a three-dimensional bounding box around an object in a 3D scene to indicate its position, size, and orientation. • Key points - are used to annotate important features such as corners, joints, tips, or other identifiable landmarks that are crucial for understanding the structure or characteristics of an object. • Text Annotation - Labeling text with sentiment indicators such as positive, negative, or neutral sentiments.

2017 - 2019

Education

Work History