Rizka Septiani

Key Skills

Software

Appen

Clickworker

Remotasks

Telus

Scale AI

Other

Lionbridge

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Video

Top Task Types

Audio Recording

Bounding Box

Data Collection

Segmentation

Translation Localization

Freelancer Overview

A dedicated full-time freelancer with 5 years of extensive experience across the AI and Machine Learning. My expertise spans Multi-Modal Data Annotation (image and video) and Data Labeling (audio and image) for various organizations, directly contributing to the improvement of AI's natural language understanding (NLU) and language generation capabilities. Furthermore, I possess a strong background in quality assurance and evaluation, serving as a Search Engine Evaluator, an Image & Video Ads Evaluator, and a Chatbot AI Trainer/Evaluator, ensuring high standards of data relevance, accuracy, and model performance."

Labeling Experience

Audio recording

LionbridgeAudioEmotion RecognitionAudio Recording

This project involved Speech Data Collection in the Indonesian language, requiring the recording of specific audio scripts using diverse intonations and speaking styles. The goal was to provide high-quality training data to enhance the Natural Language Processing (NLP) capabilities of AI models, particularly in Speech Recognition and Text-to-Speech systems, ensuring natural and accurate verbal responses.

This project involved Speech Data Collection in the Indonesian language, requiring the recording of specific audio scripts using diverse intonations and speaking styles. The goal was to provide high-quality training data to enhance the Natural Language Processing (NLP) capabilities of AI models, particularly in Speech Recognition and Text-to-Speech systems, ensuring natural and accurate verbal responses.

2024 - 2024

Video annotation

OtherVideoBounding Box

This project involved Video-based OCR/Text Annotation to improve the Natural Language Understanding (NLU) capabilities of AI. The core task required creating temporal and spatial bounding boxes around every sentence or word that appeared within the video frames. This was followed by the accurate transcription of the boxed text and the application of appropriate semantic labels for AI training.

This project involved Video-based OCR/Text Annotation to improve the Natural Language Understanding (NLU) capabilities of AI. The core task required creating temporal and spatial bounding boxes around every sentence or word that appeared within the video frames. This was followed by the accurate transcription of the boxed text and the application of appropriate semantic labels for AI training.

2021 - 2024

Image annotation

OtherImageBounding Box

This project involved specialized OCR (Optical Character Recognition) Annotation aimed at improving the language understanding capabilities of AI models. The core task required creating precise bounding boxes around every sentence or word within an image, followed by the accurate transcription (typing) of the boxed text and applying the appropriate semantic labels

This project involved specialized OCR (Optical Character Recognition) Annotation aimed at improving the language understanding capabilities of AI models. The core task required creating precise bounding boxes around every sentence or word within an image, followed by the accurate transcription (typing) of the boxed text and applying the appropriate semantic labels

2021 - 2024

Audio recording

OtherAudioAudio Recording

This project specifically required recordings in the Indonesian language utilizing both Formal and Non-Formal (Colloquial) registers. This demonstrated proficiency in adapting vocal delivery to suit various contexts (e.g., official address vs. casual conversation), which is crucial for training AI models in accurate Indonesian Speech Recognition and Natural Language Understanding (NLU).

This project specifically required recordings in the Indonesian language utilizing both Formal and Non-Formal (Colloquial) registers. This demonstrated proficiency in adapting vocal delivery to suit various contexts (e.g., official address vs. casual conversation), which is crucial for training AI models in accurate Indonesian Speech Recognition and Natural Language Understanding (NLU).

2023 - 2023

Education

Work History