Testimony I.

Key Skills

Software

Other

Labelbox

Top Subject Matter

Video content relevance and visual annotation

E-commerce search relevance

Search relevance and AI response evaluation (QA)

Top Data Types

Video

Text

Image

Top Task Types

Bounding Box

Object Detection

Transcription

Question Answering

Freelancer Overview

Video Data Annotator | Search Relevance Evaluator / AI Data Training Specialist (Video Data Annotation). Core strengths include Other and Labelbox. Education includes Bachelor of Agriculture, N/A. AI-training focus includes data types such as Video and Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator at ERUD AI

OtherText

Evaluated search results and AI-generated content for relevance, accuracy, and overall quality. Followed detailed annotation guidelines to ensure consistent judgments across diverse datasets. Collaborated with quality assurance teams to maintain high annotation standards for machine learning training. • Judged relevance and quality of search and AI-generated content • Ensured consistent labeling using provided guidelines • Worked with QA teams to uphold annotation quality • Supported dataset consistency for model training

2024 - Present

Data Annotator / QA Expert at Labelbox

LabelboxText

Evaluated AI-generated responses and search results to improve data quality and ensure alignment with strict relevance and accuracy standards. Conducted QA reviews of annotator submissions and provided detailed feedback to maintain consistency. Followed annotation guidelines to help build high-quality datasets for machine learning model training. • Reviewed and scored AI-generated responses and search results • Performed QA checks on annotator outputs • Delivered detailed feedback to improve labeling consistency • Applied relevance/accuracy standards for training dataset quality

2024 - Present

Search Relevance Evaluator

OtherText

Evaluated e-commerce product search results for relevance across multiple platforms and international markets. Analyzed search queries and product listings using provided context to determine relevance matches. Applied detailed annotation guidelines to produce consistent, high-quality judgments for machine learning datasets. • Assessed query-to-product relevance using given context • Labeled search results according to annotation guidelines • Contributed to human-labeled datasets for search algorithm training and benchmarking • Supported relevance evaluation improvements for model performance

2024 - Present

Video Data Annotator | Search Relevance Evaluator / AI Data Training Specialist (Video Data Annotation)

OtherVideo

Labeled and evaluated video digital content for machine learning training using provided annotation guidelines. Assessed objects, actions, and visual elements within video data to support consistent model learning. Ensured accurate, reliable judgments that improved dataset quality and relevance for downstream training. • Applied guideline-based tagging for objects, actions, and visual elements • Performed consistent judgments to maintain dataset quality • Used attention-to-detail methods to improve labeling accuracy • Supported machine learning training with structured annotations

2024 - Present

Education

Work History