Mia Sagita Hiswandari

Key Skills

Software

Clickworker

Kili Technology

Remotasks

Other

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Document

Image

Top Task Types

Audio Recording

Bounding Box

Classification

Data Collection

Segmentation

Freelancer Overview

I have three years of experience as a data annotator, working on a wide range of projects that required precision, consistency, and a sharp eye for detail. My tasks have included labeling images using bounding boxes—such as identifying cars and grocery store items—classifying CVs, and organizing ecommerce comment data. I’ve also been involved in projects that required categorizing large volumes of visual data, like airport and supermarket images, as well as classifying products from well-known luxury brands. In addition to image annotation, I contributed to several data classification projects across industries, from retail to HR tech. I’m also fluent in both Indonesian and French, which supported my work on multilingual transcription tasks and broadened the range of projects I could contribute to.

Labeling Experience

Luxury brands classification

OtherTextClassification

In this project, I was tasked with classifying data related to luxury brands across various product categories such as fashion, accessories, beauty, and lifestyle. The objective was to organize and label brand-specific data—like product names, collections, item types, and style codes—into a structured format to support high-end e-commerce platforms and marketing tools.

In this project, I was tasked with classifying data related to luxury brands across various product categories such as fashion, accessories, beauty, and lifestyle. The objective was to organize and label brand-specific data—like product names, collections, item types, and style codes—into a structured format to support high-end e-commerce platforms and marketing tools.

2024 - 2024

Grocery stores items

Kili TechnologyImageBounding Box

In this project, I worked on annotating grocery items in supermarket images using bounding boxes. The main objective was to train computer vision models to recognize and detect various grocery products—such as fruits, vegetables, packaged goods, and beverages—on supermarket cashier counter. I was responsible for drawing accurate bounding boxes around each item and ensuring that each annotation was correctly labeled based on the product type or category.

In this project, I worked on annotating grocery items in supermarket images using bounding boxes. The main objective was to train computer vision models to recognize and detect various grocery products—such as fruits, vegetables, packaged goods, and beverages—on supermarket cashier counter. I was responsible for drawing accurate bounding boxes around each item and ensuring that each annotation was correctly labeled based on the product type or category.

2023 - 2024

Supermarkets Inventory

OtherTextClassification

In this project, I was involved in classifying data related to products and categories from major supermarkets. The goal was to organize and label product information—such as names, brands, categories, prices, and packaging details—into structured formats that could be used for e-commerce platforms, inventory systems, or recommendation engines.

In this project, I was involved in classifying data related to products and categories from major supermarkets. The goal was to organize and label product information—such as names, brands, categories, prices, and packaging details—into structured formats that could be used for e-commerce platforms, inventory systems, or recommendation engines.

2022 - 2023

E-commerce data

OtherTextClassification

In this project, I was responsible for classifying user comments on an e-commerce platform. The main objective was to help train sentiment analysis and customer feedback models by organizing comments into categories such as positive, negative, neutral, spam, or product-specific feedback (e.g., delivery issues, product quality, or service experience).

In this project, I was responsible for classifying user comments on an e-commerce platform. The main objective was to help train sentiment analysis and customer feedback models by organizing comments into categories such as positive, negative, neutral, spam, or product-specific feedback (e.g., delivery issues, product quality, or service experience).

2022 - 2023

Road and cars labelling

OtherImageBounding Box

One of the projects that I worked on involved labeling cars on the road using bounding boxes. The goal of the project was to train computer vision models for autonomous driving and traffic monitoring systems. I was responsible for accurately identifying and tagging various types of vehicles—such as sedans, trucks, motorcycles, and buses—in different environments and weather conditions. Each image required precise annotation of vehicle positions, orientations, and sometimes even attributes like color or type.

One of the projects that I worked on involved labeling cars on the road using bounding boxes. The goal of the project was to train computer vision models for autonomous driving and traffic monitoring systems. I was responsible for accurately identifying and tagging various types of vehicles—such as sedans, trucks, motorcycles, and buses—in different environments and weather conditions. Each image required precise annotation of vehicle positions, orientations, and sometimes even attributes like color or type.

2021 - 2023

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Education

Work History