Krizia Blasi

Key Skills

Software

Appen

Remotasks

Other

Scale AI

Top Subject Matter

Natural Language Processing for AI Assistants in Italian

Content Creation and Curation for AI Training in Italian

Transcription and Subtitling for Media and Entertainment

Top Data Types

Image

Text

Video

Top Task Types

Evaluation Rating

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

I am a multilingual professional with extensive experience in AI training data and data labeling, specializing in the creation of high-quality datasets for machine learning models. Over the past several years, I have collaborated with notable companies such as Outlier and TheSoul Publishing, where I have honed my skills in text annotation, sentiment analysis, and transcription. My work has significantly contributed to the development of advanced AI systems, particularly in the realms of natural language processing and media content analysis. My expertise includes handling diverse data types, from textual data for chatbot training to image data for autonomous vehicle systems. I am proficient in using various data labeling platforms like Remotasks and Outlier, and I have a strong command of the Italian language, making me particularly effective in projects requiring linguistic and cultural nuances. My technical skills are complemented by my ability to deliver precise, culturally relevant, and contextually accurate annotations, ensuring the highest quality standards in AI model training.

Labeling Experience

AI Training Data Annotation for Outlier

Scale AITextEntity Ner ClassificationSegmentation

As part of my role at Outlier, I worked on multiple projects involving the annotation of both text and image data. For text, I focused on named entity recognition (NER) and intent classification, contributing to the training of advanced AI models for natural language understanding. For image data, I performed segmentation and object classification tasks. These projects required high accuracy and attention to detail to ensure the AI models were trained on high-quality, precise data. The work was crucial in developing AI systems capable of understanding and processing natural language and visual information effectively.

As part of my role at Outlier, I worked on multiple projects involving the annotation of both text and image data. For text, I focused on named entity recognition (NER) and intent classification, contributing to the training of advanced AI models for natural language understanding. For image data, I performed segmentation and object classification tasks. These projects required high accuracy and attention to detail to ensure the AI models were trained on high-quality, precise data. The work was crucial in developing AI systems capable of understanding and processing natural language and visual information effectively.

2024

Transcription and Subtitling for Media and Entertainment

OtherVideoSegmentationEmotion Recognition

I worked on transcribing and subtitling video content for various media and entertainment platforms. The project involved segmenting audio tracks, transcribing spoken content, and synchronizing subtitles with video frames. Additionally, I performed emotion recognition tasks to annotate the emotional context of the dialogues. This work required a keen attention to detail and cultural understanding to ensure that subtitles were accurate and conveyed the intended emotions. The project covered hundreds of hours of video content and required a high degree of accuracy and adherence to quality standards.

I worked on transcribing and subtitling video content for various media and entertainment platforms. The project involved segmenting audio tracks, transcribing spoken content, and synchronizing subtitles with video frames. Additionally, I performed emotion recognition tasks to annotate the emotional context of the dialogues. This work required a keen attention to detail and cultural understanding to ensure that subtitles were accurate and conveyed the intended emotions. The project covered hundreds of hours of video content and required a high degree of accuracy and adherence to quality standards.

2019

Text Annotation and Sentiment Analysis for AI Chatbots

AppenTextEntity Ner ClassificationClassification

In this project, I worked on annotating and analyzing large volumes of text data to train AI chatbots used in customer service. My tasks included identifying and labeling named entities (NER), classifying user intents, and performing sentiment analysis to detect the emotional tone of the text. This involved precise and culturally relevant annotations to ensure the chatbot's responses were accurate and contextually appropriate. The project spanned over six months and required strict adherence to quality standards, with regular validation and spot-checking to maintain high accuracy levels.

In this project, I worked on annotating and analyzing large volumes of text data to train AI chatbots used in customer service. My tasks included identifying and labeling named entities (NER), classifying user intents, and performing sentiment analysis to detect the emotional tone of the text. This involved precise and culturally relevant annotations to ensure the chatbot's responses were accurate and contextually appropriate. The project spanned over six months and required strict adherence to quality standards, with regular validation and spot-checking to maintain high accuracy levels.

2023 - 2023

Education

Work History