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Ghifari Dzaki

Ghifari Dzaki

QA Data Annotator

INDONESIA flag
South Jakarta, Indonesia
$10.00/hrEntry LevelAppenOther

Key Skills

Software

AppenAppen
Other

Top Subject Matter

General Computer Vision
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

ImageImage
3D Sensor

Top Task Types

Bounding Box

Freelancer Overview

QA Data Annotator. Brings 1 years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Universitas Indraprasta PGRI (2023). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Entry LevelIndonesianEnglish

Labeling Experience

QA Data Annotator

ImageBounding Box
As a QA Data Annotator, I was responsible for reviewing annotated image data and ensuring outputs strictly adhered to project standards. I consistently identified annotation errors and maintained high-quality standards for final data submissions. My role required detail orientation and adherence to strict validation and quality assurance protocols. • Reviewed 70–80 projects per day, exceeding daily targets. • Ensured all labels matched project guidelines before final handoff. • Identified and corrected labeling errors to maintain superior data quality. • Adapted quickly to new annotation tools and quality systems.

As a QA Data Annotator, I was responsible for reviewing annotated image data and ensuring outputs strictly adhered to project standards. I consistently identified annotation errors and maintained high-quality standards for final data submissions. My role required detail orientation and adherence to strict validation and quality assurance protocols. • Reviewed 70–80 projects per day, exceeding daily targets. • Ensured all labels matched project guidelines before final handoff. • Identified and corrected labeling errors to maintain superior data quality. • Adapted quickly to new annotation tools and quality systems.

2026 - Present

Data Annotator

ImageBounding Box
As a Data Annotator, I performed detailed object labeling of images using bounding boxes on various projects. Each project required strict adherence to guidelines and consistency checks for accuracy. I regularly processed a high volume of annotations while maintaining low error rates as assessed by QA reviews. • Labeled 1,000–1,500 objects per day using bounding boxes. • Maintained annotation accuracy with an estimated 2%–5% error rate. • Followed changing project guidelines for each annotation task. • Supported overall project annotation throughput for rapid delivery.

As a Data Annotator, I performed detailed object labeling of images using bounding boxes on various projects. Each project required strict adherence to guidelines and consistency checks for accuracy. I regularly processed a high volume of annotations while maintaining low error rates as assessed by QA reviews. • Labeled 1,000–1,500 objects per day using bounding boxes. • Maintained annotation accuracy with an estimated 2%–5% error rate. • Followed changing project guidelines for each annotation task. • Supported overall project annotation throughput for rapid delivery.

2026 - 2026

Education

U

Universitas Indraprasta PGRI

Bachelor of Science, Informatics Engineering

Bachelor of Science
2023

Work History

K

Kupu

QA Data Annotator

South Jakarta
2026 - Present
K

Kupu

Data Annotator

South Jakarta
2026 - Present