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Brillian Surya

AI Data Contributor / Evaluator

NETHERLANDS flag
The Hague, Netherlands
$16.00/hrIntermediateAppenClickworkerLionbridge

Key Skills

Software

AppenAppen
ClickworkerClickworker
LionbridgeLionbridge
TelusTelus
TolokaToloka
OneFormaOneForma

Top Subject Matter

AI Training Data
Search Relevance
Content Evaluation

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

Audio Recording
Classification

Freelancer Overview

AI Data Contributor / Evaluator. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include UHRS Platform, N, and A. Education includes Master of Science, Delft University of Technology (2023) and Bachelor of Science, Gadjah Mada University (2014). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Evaluation, Rating, and Audio Recording.

IntermediateIndonesianJavaneseEnglish

Labeling Experience

Image Labeling and Classification Contributor

ImageClassification
Labeled images and visual content as part of structured instructions for AI model training datasets. Ensured labels were consistent, accurate, and adhered closely to provided guidelines. Conducted quality checks and identified inconsistencies in image classification tasks. • Classified and reviewed image data to improve AI model accuracy. • Followed structured guidelines for image labeling tasks. • Provided feedback to refine labeling standards and dataset quality. • Identified misclassifications and helped resolve labeling issues.

Labeled images and visual content as part of structured instructions for AI model training datasets. Ensured labels were consistent, accurate, and adhered closely to provided guidelines. Conducted quality checks and identified inconsistencies in image classification tasks. • Classified and reviewed image data to improve AI model accuracy. • Followed structured guidelines for image labeling tasks. • Provided feedback to refine labeling standards and dataset quality. • Identified misclassifications and helped resolve labeling issues.

Not specified

AI Data Contributor / Voice Data Collection

AudioAudio Recording
Recorded and contributed over 1,350+ voice samples for use in AI voice recognition model training in Bahasa Indonesia and Minangkabau languages. Followed strict instructions to ensure recording quality and dataset diversity. Performed quality checks on audio submissions for clarity and completeness. • Provided native-language voice data for AI model refinement. • Ensured accurate representation of pronunciation and dialect variation. • Adhered to detailed voice data recording protocols. • Assisted in validating the usability of collected audio samples.

Recorded and contributed over 1,350+ voice samples for use in AI voice recognition model training in Bahasa Indonesia and Minangkabau languages. Followed strict instructions to ensure recording quality and dataset diversity. Performed quality checks on audio submissions for clarity and completeness. • Provided native-language voice data for AI model refinement. • Ensured accurate representation of pronunciation and dialect variation. • Adhered to detailed voice data recording protocols. • Assisted in validating the usability of collected audio samples.

Not specified

AI Data Contributor / Evaluator

Text
Performed data labeling, annotation, and categorization for AI training datasets focused on search relevance and user intent analysis. Evaluated search results and AI-generated content using the UHRS platform, following structured guidelines for quality. Conducted validation checks and quality review to ensure consistency and accuracy in labeled text data. • Labeled and annotated text and search query data for AI model improvement. • Provided quality assurance feedback on search relevance and user intent recognition. • Evaluated AI-generated outputs for clarity, accuracy, and usefulness. • Used UHRS for detailed and structured evaluation and categorization tasks.

Performed data labeling, annotation, and categorization for AI training datasets focused on search relevance and user intent analysis. Evaluated search results and AI-generated content using the UHRS platform, following structured guidelines for quality. Conducted validation checks and quality review to ensure consistency and accuracy in labeled text data. • Labeled and annotated text and search query data for AI model improvement. • Provided quality assurance feedback on search relevance and user intent recognition. • Evaluated AI-generated outputs for clarity, accuracy, and usefulness. • Used UHRS for detailed and structured evaluation and categorization tasks.

Not specified

Education

G

Gadjah Mada University

Bachelor of Science, Civil and Environmental Engineering

Bachelor of Science
2009 - 2014
D

Delft University of Technology

Master of Science, Civil Engineering, Structural and Materials Engineering

Master of Science
2023

Work History

G

Government sector

Project Engineer

Jakarta
2019 - 2023
G

Government sector

Project Engineer

Jakarta
2017 - 2019