Yassine B.

Key Skills

Software

Don't disclose

Top Subject Matter

Legal/Judicial domain

generative AI for legal applications

Generative AI language model training (English)

Top Data Types

Document

Text

Audio

Top Task Types

Entity (NER) Classification

Text Generation

Transcription

Freelancer Overview

Investigative Judge (AI/data-related legal data structuring and evaluation). Brings 6+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose. Education includes Master of Laws (LL.M.), University of Algiers. AI-training focus includes data types such as Document, Text, and Audio and labeling workflows including Entity (NER) Classification, Text Generation, and Transcription.

Labeling Experience

AI model training: English voice/voice dataset training and evaluation

Don't discloseAudioTranscription

I trained AI models using English voice datasets to improve natural interaction and linguistic performance. I used data annotation and training methodologies to prepare audio-derived data for model learning. I assessed the quality of AI outputs and ensured they met ethical and professional constraints. • English voice dataset training • Annotation and preparation for audio-based model learning • Quality evaluation of voice-related outputs • Ethical compliance checks for AI behavior

2021 - 2021

AI model training: English text training and data annotation methodologies

Don't discloseTextText Generation

I trained AI models using English text datasets to enhance linguistic accuracy and natural interaction. I applied data annotation and training methodologies to support language model improvement for English usage. I evaluated quality and compliance of AI outputs within a judicial/professional context. • English text dataset annotation/training • Data annotation and training methodology application • LLM-focused quality evaluation • Ethical compliance evaluation for generated outputs

2021 - 2021

Investigative Judge (AI/data-related legal data structuring and evaluation)

Don't discloseDocumentEntity (NER) Classification

I contributed to converting legal data into structured, high-quality information suitable for training large language models. I supported labeling and structuring of legal content in a way that improved downstream retrieval and generation quality in an AI context. I also ensured outputs met judicial and professional quality requirements. • Legal data analysis and structuring for LLM training • Entity-oriented classification of legal concepts • Quality and ethical compliance checks on AI outputs • Application of justice standards to guide dataset readiness

2021 - 2021

Education

Work History