Putri Rizkiyah

Key Skills

Software

Internal/Proprietary Tooling

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Audio

Text

Video

Top Label Types

Bounding Box

Classification

Emotion Recognition

Evaluation Rating

Data Collection

Transcription

Red Teaming

Text Generation

Freelancer Overview

I am an experienced data annotator and AI training data specialist with a strong background in image and video annotation, data labeling, and quality assurance for machine learning projects. I have worked on various freelance projects where I labeled thousands of images, created bounding boxes, and provided detailed descriptions to train AI algorithms, primarily in computer vision domains. My expertise includes using data annotation tools, managing datasets in Excel and Google Sheets, and capturing high-quality videos and images for AI data collection. I am fluent in English, Bahasa Indonesia, and Javanese, and I pride myself on my attention to detail, communication skills, and commitment to delivering accurate, high-quality training data. I am always eager to learn new tools and contribute to innovative AI solutions.

Labeling Experience

Data Annotator – Freelance

Internal Proprietary ToolingVideoClassificationEmotion Recognition

Reviewed and evaluated video content based on detailed project guidelines, providing structured scoring and qualitative feedback. Transcribed on-screen text appearing in videos and assessed audio elements to distinguish between human-generated and AI-generated voices. Ensured consistency, accuracy, and compliance with quality standards to support AI model training and evaluation.

Reviewed and evaluated video content based on detailed project guidelines, providing structured scoring and qualitative feedback. Transcribed on-screen text appearing in videos and assessed audio elements to distinguish between human-generated and AI-generated voices. Ensured consistency, accuracy, and compliance with quality standards to support AI model training and evaluation.

2024 - 2025

QA Reviewer – Freelance

Internal Proprietary ToolingImageBounding BoxClassification

Reviewed AI-generated images to ensure accuracy, correctness, and alignment with project guidelines. Evaluated whether visual outputs, labels, and descriptive metadata matched intended prompts and classification criteria. Identified errors in object labeling, image relevance, and descriptive accuracy, providing structured feedback to improve model performance and data quality. Maintained high attention to detail and consistency throughout quality assurance workflows.

Reviewed AI-generated images to ensure accuracy, correctness, and alignment with project guidelines. Evaluated whether visual outputs, labels, and descriptive metadata matched intended prompts and classification criteria. Identified errors in object labeling, image relevance, and descriptive accuracy, providing structured feedback to improve model performance and data quality. Maintained high attention to detail and consistency throughout quality assurance workflows.

2024 - 2024

AI Data Collector – Freelance

LabelboxAudioClassificationEmotion Recognition

Collected and recorded high-quality audio data for AI training datasets, both in controlled and natural environments. Ensured all recordings met technical and quality requirements for use in speech and audio recognition models. Maintained consistency, clarity, and relevance of collected audio samples throughout project cycles. • Utilized standard audio recording equipment and software. • Reviewed audio samples for clarity and environmental noise adherence. • Cataloged and documented audio data for efficient annotation and retrieval. • Collaborated closely with data reviewers for continuous feedback.

Collected and recorded high-quality audio data for AI training datasets, both in controlled and natural environments. Ensured all recordings met technical and quality requirements for use in speech and audio recognition models. Maintained consistency, clarity, and relevance of collected audio samples throughout project cycles. • Utilized standard audio recording equipment and software. • Reviewed audio samples for clarity and environmental noise adherence. • Cataloged and documented audio data for efficient annotation and retrieval. • Collaborated closely with data reviewers for continuous feedback.

2024

Data Annotator & Transcriptionist – Freelance

Internal Proprietary ToolingImageBounding BoxClassification

Labeled large-scale image datasets using strict AI training standards, focusing on bounding box and descriptive annotations. Ensured guideline compliance and high data quality for machine learning and computer vision tasks. Reviewed image labels for accuracy and consistency to support model training. • Created bounding boxes and descriptive tags for object detection tasks. • Used image annotation tools to annotate thousands of images. • Validated labeled data against annotation protocols and project guidelines. • Provided quality assurance checks for labeled images.

Labeled large-scale image datasets using strict AI training standards, focusing on bounding box and descriptive annotations. Ensured guideline compliance and high data quality for machine learning and computer vision tasks. Reviewed image labels for accuracy and consistency to support model training. • Created bounding boxes and descriptive tags for object detection tasks. • Used image annotation tools to annotate thousands of images. • Validated labeled data against annotation protocols and project guidelines. • Provided quality assurance checks for labeled images.

2024

AI Data Collector (Video) – Freelance

Internal Proprietary ToolingVideoClassificationData Collection

Collected and recorded high-quality video data for AI training datasets in accordance with detailed project guidelines. Captured diverse scenes, environments, and activities to support computer vision model development. Ensured all videos met technical requirements including resolution, lighting, framing, and stability. Organized and submitted video files using internal client platforms while maintaining data consistency and quality standards.

Collected and recorded high-quality video data for AI training datasets in accordance with detailed project guidelines. Captured diverse scenes, environments, and activities to support computer vision model development. Ensured all videos met technical requirements including resolution, lighting, framing, and stability. Organized and submitted video files using internal client platforms while maintaining data consistency and quality standards.

2004

Show more

Education

Work History