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Elias Brian

Elias Brian

Senior AI QA Reviewer – Multimodal Q&A Data

USA flag
Seattle, Usa
$15.00/hrExpertScale AILabelboxSnorkel AI

Key Skills

Software

Scale AIScale AI
LabelboxLabelbox
Snorkel AISnorkel AI
TolokaToloka

Top Subject Matter

Multimodal Image-and-Text AI Training Data
Text & Image Classification for AI Model Training

Top Data Types

ImageImage
AudioAudio
DocumentDocument

Top Label Types

Question Answering
Classification
Transcription
Fine Tuning
Object Detection
Segmentation
Bounding Box
Text Generation

Freelancer Overview

Senior AI QA Reviewer – Multimodal Q&A Data. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Labelbox, and Snorkel AI. Education includes Bachelor of Arts, University of Washington (2018). AI-training focus includes data types such as Image and labeling workflows including Question Answering and Classification.

ExpertEnglish

Labeling Experience

Scale AI

Senior AI QA Reviewer – Multimodal Q&A Data

Scale AIImageQuestion Answering
As a Senior AI QA Reviewer, I verified and audited complex image-based Q&A datasets weekly for machine learning model training. I rewrote and restructured inaccurate answers and carried out exact text extraction from visual media. Rigorous accuracy and processing efficiency were maintained in a high-volume, remote evaluation setting. • Evaluated 1,000+ image-and-text Q&A items per week for label accuracy and naturalness. • Generated flawless standalone answer corrections for image-based questions. • Extracted exact text from infographics and screenshots, ensuring zero character errors. • Flagged exceptions and policy violations, providing concise feedback to engineering teams.

As a Senior AI QA Reviewer, I verified and audited complex image-based Q&A datasets weekly for machine learning model training. I rewrote and restructured inaccurate answers and carried out exact text extraction from visual media. Rigorous accuracy and processing efficiency were maintained in a high-volume, remote evaluation setting. • Evaluated 1,000+ image-and-text Q&A items per week for label accuracy and naturalness. • Generated flawless standalone answer corrections for image-based questions. • Extracted exact text from infographics and screenshots, ensuring zero character errors. • Flagged exceptions and policy violations, providing concise feedback to engineering teams.

2023 - Present
Labelbox

Data Annotation Specialist – Text & Image Classification

LabelboxImageClassification
As a Data Annotation Specialist, I applied precise taxonomies to image datasets and rated AI-generated text quality for machine learning. I conducted QA reviews on text data, correcting errors to meet C2 English standards. Weekly collaboration with data scientists refined labeling guidelines and addressed edge-case issues. • Classified and labeled large-scale image datasets per strict taxonomies. • Evaluated and rated AI-generated text on linguistic and logical criteria. • Peer-reviewed batches for tone, punctuation, and natural language quality. • Achieved a 99% quality score across 10,000+ image-text pairs.

As a Data Annotation Specialist, I applied precise taxonomies to image datasets and rated AI-generated text quality for machine learning. I conducted QA reviews on text data, correcting errors to meet C2 English standards. Weekly collaboration with data scientists refined labeling guidelines and addressed edge-case issues. • Classified and labeled large-scale image datasets per strict taxonomies. • Evaluated and rated AI-generated text on linguistic and logical criteria. • Peer-reviewed batches for tone, punctuation, and natural language quality. • Achieved a 99% quality score across 10,000+ image-text pairs.

2020 - 2022

Education

U

University of Washington

Bachelor of Arts, English Language and Literature

Bachelor of Arts
2014 - 2018

Work History

S

Self-Employed

Freelance Copy Editor

Seattle
2018 - 2020