Muthmainatun N.

Key Skills

Software

V7 Labs

Kili Technology

Appen

Top Subject Matter

Medical Imaging (Dermoscopy)

Autonomous Driving and General AI Computer Vision

Beauty Tech (Facial Analysis)

Top Data Types

Image

Text

Audio

Top Task Types

Segmentation

Bounding Box

Classification

Text Summarization

Transcription

Freelancer Overview

AI Data Annotator for iToBoS project. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include V7 Labs, Kili Technology, and isahit Platform. Education includes Bachelor of Arts, Universitas Terbuka (2026). AI-training focus includes data types such as Medical, DICOM, and Image and labeling workflows including Segmentation, Bounding Box, and Classification.

Labeling Experience

Comment Summarization and Sentiment Annotator

TextText Summarization

Executed comment summarization and sentiment analysis for an e-commerce AI review platform. Delivered annotations supporting sentiment classification and review summarization for millions of users. Helped improve the performance of natural language processing AI for online commerce feedback systems. • Created text summaries for a high-traffic e-commerce platform • Applied sentiment labels for user reviews in Southeast Asian markets • Supported millions of daily active users through data curation efforts • Contributed to the AI enhancement of NLP-powered review systems

2022 - Present

Facial Recognition Data Annotator

ImageClassification

Annotated facial recognition and skin tone datasets for a beauty technology brand's face-scanning AI. Ensured high quality and consistency in labeling for global product deployment. Supported development of commercial facial analysis AI applications. • Labeled facial images for skin tone and recognition accuracy • Applied annotation standards for consumer beauty technology • Ensured data quality for large-scale commercial deployment • Collaborated with international project teams

2022 - Present

AI Data Annotator (general computer vision)

Kili TechnologyImageBounding Box

Produced large-scale image annotations across general AI and autonomous driving datasets. Performed object detection, semantic segmentation, instance segmentation, and image classification tasks. Used multiple professional annotation platforms to deliver high-quality computer vision datasets. • Annotated over 50,000 images via Kili and isahit platforms • Applied bounding box and polygon annotation for object detection • Labeled data for autonomous vehicle perception and generic AI use cases • Conducted quality assurance reviews for accurate dataset delivery

2022 - Present

AI Data Annotator for iToBoS project

V7 LabsSegmentation

Performed extensive medical image annotation for the iToBoS EU-funded melanoma detection project. Applied lesion color assignment, size-based lesion annotation, and sun damage classification on dermoscopic images. Ensured high accuracy and quality to support AI models for early melanoma detection. • Delivered over 70,000 annotated dermoscopic images using advanced annotation software • Executed lesion-level segmentation and detailed classification • Maintained precise standards for dataset integrity and client objectives • Supported development of full-body dermoscopic AI scanning models

2022 - Present

Freelance Audio/Video Data Contributor & Annotator

AppenAudioTranscription

Labeled and transcribed audio and video data, including social media clips and multi-speaker conversations. Added timestamps, non-speech sound labels, and emotion or dialect tags for English and Indonesian datasets. Enhanced the quality and diversity of AI training sets for speech and emotion recognition in Southeast Asian contexts. • Annotated audio files with speaker, emotion, and sound cues • Managed edge-cases using cultural and linguistic knowledge • Improved accuracy for dialectal AI models • Supported large-scale, multilingual AI audio initiatives

2022 - 2024

Education

Work History