Medical transcriptions for AI training
Kili TechnologyAudioTranscription
Transcription of recorded patient visits to train healthcare/medical AI assistant.
Transcription of recorded patient visits to train healthcare/medical AI assistant.
2025
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Key Skills
Software
Appen
ClickworkerKili Technology
Labelbox
Mercor
Mindrift
Remotasks
Scale AI
TelusTop Subject Matter
No subject matter listed
Top Data Types
Audio
Document
Text
VideoTop Task Types
Classification
Data Collection
Evaluation Rating
Prompt Response Writing SFT
Red Teaming
RLHF
Text Generation
Text Summarization
Transcription
Translation Localization
Freelancer Overview
I am an experienced freelance AI trainer and data annotator with over 2000 hours dedicated to training large language models and generative AI systems for leading clients such as Google, Amazon, Meta, Uber, and Nvidia. My expertise spans SFT, RM, and RLHF processes, as well as SxS performance evaluation, prompt and response writing, factuality and safety checks, localization, and machine translation error annotation. I am highly proficient in using platforms like Outlier, Labelbox/Alignerr, Google DataCompute, Amazon Nova, and Datamundi. With a strong background in language and localization, I deliver high-quality, domain-specific data annotation and evaluation for NLP and web search assistants, ensuring accuracy, relevance, and cultural appropriateness in multiple languages.
ExpertCatalanEnglishItalianSpanish
Labeling Experience
Italian writer for AI training
MercorTextRLHFPrompt Response Writing SFT
LLM prompt and response editing to draft a "golden response".
LLM prompt and response editing to draft a "golden response".
2025
Multiple-round conversational model testing for Telus
TelusAudioRLHF
Multiple-round conversational model testing
Multiple-round conversational model testing
2025
Pegasus HLE (on Outlier)
Scale AITextPrompt Response Writing SFT
The project aimed at generating higly complex domain-specific prompts to make the models fail (i.e., 'stumping' the models), in order to create an extremely rigorous benchmark for LLM testing.
The project aimed at generating higly complex domain-specific prompts to make the models fail (i.e., 'stumping' the models), in order to create an extremely rigorous benchmark for LLM testing.
2025
LLM training on Labelbox/Alignerr (various projects)
LabelboxTextText GenerationTranslation Localization
Performed a variety of different LLM training projects on Alignerr/Labelbox.
Performed a variety of different LLM training projects on Alignerr/Labelbox.
2024
Education
U
University of Milan Bicocca
Doctor of Philosophy, Sociology
Doctor of Philosophy
2014 - 2018
C
Catholic University of the Sacred Heart of Brescia
Postgraduate Degree, Food Management and Green Marketing
Postgraduate Degree
2013 - 2014
Work History
U
University of Milan Bicocca
University Researcher in Rural and Economic Sociology
Milan
2014 - 2023
U
University of Milan Bicocca
Post-Doctoral Researcher
Milan
2019 - 2021