Elisa Festi

Key Skills

Software

Appen

Clickworker

Data Annotation Tech

iMerit

Kili Technology

Lionbridge

OneForma

Remotasks

SuperAnnotate

Telus

Internal/Proprietary Tooling

Scale AI

Top Subject Matter

Financial

Healthcare

Legal

Top Data Types

Document

Text

Video

Top Label Types

Emotion Recognition

Entity Ner Classification

Translation Localization

Segmentation

Text Summarization

Freelancer Overview

With a Bachelor’s degree in Foreign Languages, Linguistics, and Literature, my academic background has been instrumental in my contributions to various projects related to audio and text annotation, where precision and attention to detail are paramount. In data annotation, I specialize in NER, Sentiment Analysis, and ASR for Italian and English content. I’m skilled in using OCR tools for legal and financial documents, and I’m proficient with various annotation tools. I’ve also completed courses on image and video annotation, broadening my capabilities in this field. In speech recognition, I’ve contributed to data collection projects to enhance AI voice-activated systems by providing voice prompts and assessing the responses. I also have experience in optimizing search engines for the Italian market from English results. In addition to these, I have worked on a project focused on identifying relevant and high-quality Ads for search queries on Facebook’s SERP in Italian. This experience has further broadened my understanding of the digital advertising landscape.

Labeling Experience

Financial and Legal Document Annotation

Don T DiscloseDocumentPoint Key PointEntity Ner Classification

The project involves extensive document annotation within the financial and legal sectors. Given the sensitive nature of the information in these documents, the project demands the utmost accuracy. A meticulous approach is required to ensure correct annotation of every detail, thereby preserving the integrity and confidentiality of the information.

The project involves extensive document annotation within the financial and legal sectors. Given the sensitive nature of the information in these documents, the project demands the utmost accuracy. A meticulous approach is required to ensure correct annotation of every detail, thereby preserving the integrity and confidentiality of the information.

2023 - 2023

Sentiment Analysis Project

AppenVideoRelationshipEmotion Recognition

Analyzed and categorized sentiments in Italian and English content.

Analyzed and categorized sentiments in Italian and English content.

2023 - 2023

QA - Web Labeling Project

Don T DiscloseTextPoint Key PointClassification

The project involves the classification of web pages and evaluation of linguistic quality, adhering to specific guidelines. Web pages are categorized based on their content, purpose, and other relevant factors. The linguistic quality of the content is assessed, taking into account factors such as grammar, syntax, and style. The project follows a set of specific guidelines to ensure consistency and accuracy in the labeling process.

The project involves the classification of web pages and evaluation of linguistic quality, adhering to specific guidelines. Web pages are categorized based on their content, purpose, and other relevant factors. The linguistic quality of the content is assessed, taking into account factors such as grammar, syntax, and style. The project follows a set of specific guidelines to ensure consistency and accuracy in the labeling process.

2023 - 2023

NER Annotation

Kili TechnologyTextEntity Ner Classification

NER Annotation project in the healthcare field.

NER Annotation project in the healthcare field.

2023 - 2023

ASR Project

AppenVideoPoint Key PointSegmentation

Automatic Speech Recognition project.

Automatic Speech Recognition project.

2022 - 2022

Education

Work History