Giuseppe Difino

Key Skills

Software

Appen

Google Cloud Vertex AI

Labelbox

Label Studio

Lionbridge

OpenCV AI Kit (OAK)

Remotasks

Scale AI

SuperAnnotate

Telus

Other

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Audio Recording

Computer Programming Coding

Evaluation Rating

Text Generation

Translation Localization

Freelancer Overview

I am a multilingual AI training specialist with hands-on experience in data labeling, search relevance evaluation, and generative AI content creation. My background includes working with leading companies such as Lionbridge, Telus International, Welocalize, SuperAnnotate, and Outlier AI (Remotask), where I contributed to projects involving LLM prompt-response generation, ads and search quality rating, and annotation of both text and image datasets. I have a strong command of Python and JSON, which I use to manage structured data and automate labeling workflows. My expertise spans multiple AI domains including large language model (LLM) evaluation, search engine optimization, and multilingual content moderation. With excellent attention to detail and deep familiarity with rating guidelines, I consistently deliver high-quality annotations aligned with industry standards. My fluency in English and Italian, combined with technical skills and a data-driven mindset, make me a valuable contributor to complex AI training pipelines.

Labeling Experience

Telus International AI - Search Quality Rater

TelusImageEntity Ner ClassificationTranslation Localization

Key responsibilities include analyzing and rating search engine results based on established guidelines to determine their relevance and accuracy, examining the content of web pages to assess their quality and alignment with search queries, providing detailed feedback to help improve search algorithms and overall search engine performance, following specific rating guidelines and criteria to ensure consistency and objectivity in evaluations, participating in regular quality assurance checks to maintain high standards of evaluation, and staying updated with changes in rating guidelines and search engine algorithms to ensure accurate evaluations.

Key responsibilities include analyzing and rating search engine results based on established guidelines to determine their relevance and accuracy, examining the content of web pages to assess their quality and alignment with search queries, providing detailed feedback to help improve search algorithms and overall search engine performance, following specific rating guidelines and criteria to ensure consistency and objectivity in evaluations, participating in regular quality assurance checks to maintain high standards of evaluation, and staying updated with changes in rating guidelines and search engine algorithms to ensure accurate evaluations.

2024

Lionbridge

LionbridgeTextClassificationQuestion Answering

As a Machine Learning specialist at Lionbridge for the Generative AI - Multilingual Guardrails Content role, I was responsible for creating AI prompts and responses. I also developed and managed tasks, frequently utilizing programming languages such as Python and JSON.

As a Machine Learning specialist at Lionbridge for the Generative AI - Multilingual Guardrails Content role, I was responsible for creating AI prompts and responses. I also developed and managed tasks, frequently utilizing programming languages such as Python and JSON.

2024

Outlier - Tasker

Scale AIComputer Code ProgrammingText GenerationEvaluation Rating

A Tasker in the field of artificial intelligence and machine learning is an individual who performs specific tasks within a process of algorithm training or evaluation. These tasks include data annotation, work with Python or programming languages, verification of results generated by algorithms, labeling of images or texts, and other similar activities that require human intervention to prepare or evaluate the data used to train or evaluate artificial intelligence models. Remotask is a service that involves taskers in performing labeling, annotation, or data verification tasks for the purpose of training artificial intelligence algorithms. The company Remotask acts as an intermediary between organizations in need of annotated data and individuals willing to perform such tasks.

A Tasker in the field of artificial intelligence and machine learning is an individual who performs specific tasks within a process of algorithm training or evaluation. These tasks include data annotation, work with Python or programming languages, verification of results generated by algorithms, labeling of images or texts, and other similar activities that require human intervention to prepare or evaluate the data used to train or evaluate artificial intelligence models. Remotask is a service that involves taskers in performing labeling, annotation, or data verification tasks for the purpose of training artificial intelligence algorithms. The company Remotask acts as an intermediary between organizations in need of annotated data and individuals willing to perform such tasks.

2024

Ads Quality Rater

OtherImagePoint Key PointClassification

The Welocalize ADS Quality Rater project focuses on evaluating the relevance and quality of online ads to improve search engine advertising. Raters assess how well ads match user queries, review landing pages for accuracy and trustworthiness, and ensure compliance with content policies. The work involves consistent data labeling guided by detailed instructions and is closely monitored for accuracy. Operating at a global scale with thousands of raters, the project supports machine learning systems that enhance ad targeting and user experience.

The Welocalize ADS Quality Rater project focuses on evaluating the relevance and quality of online ads to improve search engine advertising. Raters assess how well ads match user queries, review landing pages for accuracy and trustworthiness, and ensure compliance with content policies. The work involves consistent data labeling guided by detailed instructions and is closely monitored for accuracy. Operating at a global scale with thousands of raters, the project supports machine learning systems that enhance ad targeting and user experience.

2023

SuperAnnotate - Tasker

SuperannotateComputer Code ProgrammingQuestion AnsweringDiagnosis

Coding solutions to optimize data annotation processes at SuperAnnotate. The role includes managing complex machine learning tasks, collaborating with development teams to improve the efficiency of annotation tools, and implementing new technologies for automated data processing. Frequent use of programming languages such as Python and cloud technologies to ensure scalability and accuracy in annotation projects.

Coding solutions to optimize data annotation processes at SuperAnnotate. The role includes managing complex machine learning tasks, collaborating with development teams to improve the efficiency of annotation tools, and implementing new technologies for automated data processing. Frequent use of programming languages such as Python and cloud technologies to ensure scalability and accuracy in annotation projects.

2024 - 2025

Education

Work History