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Clara Modica

Clara Modica

Experienced in LLM Evaluation in Italian and English

Italy flagPalermo, Italy
$20.00/hrIntermediateData Annotation TechOther

Key Skills

Software

Data Annotation TechData Annotation Tech
Other

Top Subject Matter

LLM evaluation in Italian
LLM evaluation in English
Evaluation of images

Top Data Types

AudioAudio
ImageImage
TextText

Top Task Types

Evaluation Rating
Prompt Response Writing SFT
Question Answering
RLHF
Text Generation

Freelancer Overview

I worked for almost 2 years on the evaluation of LLM responses in Italian, which is my native language, and in English. I am a fast learner and open to other occupations. I currently am a student of Physics at university.

IntermediateEnglishItalianSpanish

Labeling Experience

Data Annotation Tech

Prompt Writing and Evaluation (Failure Testing)

Data Annotation TechTextClassificationQuestion Answering
In this project, I was responsible for crafting prompts within specific categories (e.g., chatbot, classification, Q&A, summarization, etc.). The goal was to design prompts in such a way that they would cause the AI to fail at least one of the given constraints. Once the AI responded, I compared the outputs, evaluated them against multiple criteria, and rewrote the prompt in a more effective manner. My task also involved providing detailed comments on the differences between the initial and corrected responses to ensure the AI's performance aligned with the required standards.

In this project, I was responsible for crafting prompts within specific categories (e.g., chatbot, classification, Q&A, summarization, etc.). The goal was to design prompts in such a way that they would cause the AI to fail at least one of the given constraints. Once the AI responded, I compared the outputs, evaluated them against multiple criteria, and rewrote the prompt in a more effective manner. My task also involved providing detailed comments on the differences between the initial and corrected responses to ensure the AI's performance aligned with the required standards.

2024

Natural Dialogue Audio Recording

OtherAudioAudio Recording
In this project, I was given a text and collaborated with a colleague to record a natural-sounding conversation. My tasks included adapting the text for a smooth, authentic dialogue in Italian, ensuring clear audio quality, and maintaining relevance to the given topic. I focused on creating fluid, spontaneous exchanges while refining the recording based on feedback to enhance the naturalness of the conversation.

In this project, I was given a text and collaborated with a colleague to record a natural-sounding conversation. My tasks included adapting the text for a smooth, authentic dialogue in Italian, ensuring clear audio quality, and maintaining relevance to the given topic. I focused on creating fluid, spontaneous exchanges while refining the recording based on feedback to enhance the naturalness of the conversation.

2025 - 2025
Data Annotation Tech

Safety and Restricted Categories Testing

Data Annotation TechTextClassificationRLHF
I was assigned to test the AI’s handling of safety and restricted categories. In one task, I created prompts as a user and assessed whether the AI maintained a safe and appropriate response according to the category guidelines. In another task, I attempted to craft prompts that would lead the AI to fail the safety filters. I evaluated the AI's ability to adhere to safety protocols and provided feedback on its response handling, ensuring that it met the necessary safety standards.

I was assigned to test the AI’s handling of safety and restricted categories. In one task, I created prompts as a user and assessed whether the AI maintained a safe and appropriate response according to the category guidelines. In another task, I attempted to craft prompts that would lead the AI to fail the safety filters. I evaluated the AI's ability to adhere to safety protocols and provided feedback on its response handling, ensuring that it met the necessary safety standards.

2025 - 2025
Data Annotation Tech

Coding Evaluation (Python, C, C++)

Data Annotation TechComputer Code ProgrammingRLHFEvaluation Rating
In this project, I evaluated the AI’s responses to coding-related prompts in languages such as Python, C, and C++. I focused on the accuracy of the code, the efficiency of the solution, and the clarity of the explanations. My feedback included providing insights into potential optimizations or improvements in the code and explaining any errors in a clear and understandable way.

In this project, I evaluated the AI’s responses to coding-related prompts in languages such as Python, C, and C++. I focused on the accuracy of the code, the efficiency of the solution, and the clarity of the explanations. My feedback included providing insights into potential optimizations or improvements in the code and explaining any errors in a clear and understandable way.

2024 - 2025
Data Annotation Tech

AI Response Evaluation with Chat History

Data Annotation TechTextRLHFFine Tuning
In this project, I reviewed AI responses based on the chat history available. My role was to assess the coherence, relevance, and correctness of the AI's answers, considering the entire conversation's context. I applied various evaluation criteria, including linguistic quality, informativeness, and accuracy, and provided comments on how the AI's performance could be improved in the given context.

In this project, I reviewed AI responses based on the chat history available. My role was to assess the coherence, relevance, and correctness of the AI's answers, considering the entire conversation's context. I applied various evaluation criteria, including linguistic quality, informativeness, and accuracy, and provided comments on how the AI's performance could be improved in the given context.

2024 - 2024

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