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Guglielmo Scotti

Guglielmo Scotti

AI Trainer & Business Analyst (Geopolitical Risk – Asia-Pacific)

Italy flagMilan, Italy
$33.00/hrIntermediateTelusToloka

Key Skills

Software

TelusTelus
TolokaToloka

Top Subject Matter

Business planning and financial evaluations
Geopolitical Risk Analysis
Business Intelligence

Top Data Types

TextText
DocumentDocument
VideoVideo

Top Task Types

ClassificationClassification
Text GenerationText Generation
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning
Object DetectionObject Detection
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating

Freelancer Overview

I focuses primarily on data labeling and reinforcement learning from human feedback (RLHF) in the business and finance domain. My work involved evaluating and annotating model outputs, ensuring accuracy, relevance, and alignment with domain-specific knowledge. I contributed to improving model performance by providing high-quality feedback on financial concepts, market-related content, and business scenarios, helping refine the model’s ability to generate reliable and context-aware responses. I am bilingual in Italian and English, which enables me to work effectively with multilingual datasets and evaluate content across both languages.

IntermediateEnglishItalianGermanFrenchSpanish

Labeling Experience

China-Focused Geopolitical Analysis for Business Strategy Optimization

TextQuestion Answering
In this project, I contributed to training an AI system designed to assess how geopolitical developments in China impact business decisions such as market entry, local investments, and sourcing strategies. My work involved annotating and evaluating model outputs related to regulatory changes, trade dynamics, industrial policies, and foreign investment restrictions. I labeled content for accuracy, strategic relevance, and risk assessment, ensuring the model could identify key factors influencing operational and investment decisions. Through RLHF, I provided structured feedback to improve the model’s ability to generate clear, actionable insights, enabling businesses to better navigate uncertainty and make informed decisions in the Chinese market.

In this project, I contributed to training an AI system designed to assess how geopolitical developments in China impact business decisions such as market entry, local investments, and sourcing strategies. My work involved annotating and evaluating model outputs related to regulatory changes, trade dynamics, industrial policies, and foreign investment restrictions. I labeled content for accuracy, strategic relevance, and risk assessment, ensuring the model could identify key factors influencing operational and investment decisions. Through RLHF, I provided structured feedback to improve the model’s ability to generate clear, actionable insights, enabling businesses to better navigate uncertainty and make informed decisions in the Chinese market.

2026 - Present

AI-Assisted Business Plan Evaluation and Optimization

TextEvaluation Rating
In this project, I contributed to training an AI system designed to generate and evaluate business plans for startups and small enterprises. My role involved annotating and reviewing model outputs across key sections such as market analysis, revenue models, cost structures, and growth strategies. I labeled content for coherence, feasibility, and strategic soundness, while also identifying gaps or unrealistic assumptions. Through RLHF, I provided detailed feedback to improve the model’s ability to produce structured, actionable, and context-aware business plans. This helped enhance the model’s capability to support users in developing clear and viable business strategies.

In this project, I contributed to training an AI system designed to generate and evaluate business plans for startups and small enterprises. My role involved annotating and reviewing model outputs across key sections such as market analysis, revenue models, cost structures, and growth strategies. I labeled content for coherence, feasibility, and strategic soundness, while also identifying gaps or unrealistic assumptions. Through RLHF, I provided detailed feedback to improve the model’s ability to produce structured, actionable, and context-aware business plans. This helped enhance the model’s capability to support users in developing clear and viable business strategies.

2025 - 2025

Education

S

Sun Yat-Sen University Lingnan College

Visiting Student, Business Administration

Visiting Student
2011 - 2012
B

Bocconi University

Master of Science, Marketing Management

Master of Science
2010 - 2012

Work History

M

Microelettrica Scientifica

Key Account Manager

Milan
2022 - Present
R

Robert Bosch

Key Account Manager

Crema
2020 - 2022