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Agung W.

Image annotation (bounding boxes, keypoints, image classification)

Indonesia flagJakarta, Indonesia

Key Skills

Software

No software listed

Top Subject Matter

Computer vision / AI dataset labeling
Computer vision / segmentation labeling
NLP / text data annotation

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding BoxBounding Box
SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
TranscriptionTranscription
RLHFRLHF

Freelancer Overview

Image annotation (bounding boxes, keypoints, image classification). Core strengths include N and A. Education includes Senior High School Diploma, Senior High School (SMA/Equivalent) (2024). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Segmentation, and Entity (NER) Classification.

Labeling Experience

RLHF: rating and structured feedback

TextTextRLHFRLHF

Contributed to RLHF-style evaluation by rating model responses and providing structured feedback. Focused on improving response quality through consistent, actionable annotations. • Rated responses using agreed criteria • Supplied structured feedback to guide improvements • Helped refine model behavior through iterative evaluation • Ensured feedback clarity and usefulness for training loops

2021 - Present

Audio transcription and formatting

AudioAudioTranscriptionTranscription

Supported audio-to-text preparation by generating accurate transcriptions. Ensured proper formatting so transcripts could be used effectively for training and downstream evaluation. • Converted speech into written text • Checked transcription quality and formatting • Improved accuracy through careful review • Prepared transcription outputs for clean dataset usage

2021 - Present

Text annotation (NER, intent classification, sentiment analysis)

TextTextEntity (NER) ClassificationEntity (NER) Classification

Performed text annotation tasks to help AI systems understand language content. Labeled Named Entities and other text elements while applying consistent labeling rules. • Completed NER labeling for text inputs • Applied intent classification for conversational understanding • Labeled sentiment information to characterize text tone • Conducted verification and correction to improve dataset reliability

2021 - Present

Image segmentation annotation

ImageImageSegmentationSegmentation

Created pixel-level image segmentation labels for training and evaluation of vision models. Ensured clean, well-formed annotations by following an annotation pipeline from raw data to ready-to-train datasets. • Labeled object segmentation regions • Maintained consistent labeling quality and minimal errors • Verified label correctness during quality control passes • Supported downstream AI model training by preparing usable datasets

2021 - Present

Image annotation (bounding boxes, keypoints, image classification)

ImageImageBounding BoxBounding Box

Focused on producing high-quality image annotations to support AI training workflows. Worked on bounding boxes and keypoint marking while maintaining accuracy and consistency across repetitive tasks. • Annotated objects using bounding boxes and keypoints • Performed image classification labeling when required • Reviewed and corrected inaccurate or inconsistent labels • Contributed to dataset integrity through attention to detail

2021 - Present

Education

S

Senior High School (SMA/Equivalent)

Senior High School Diploma, General Education

Senior High School Diploma
2021 - 2024