Hamza Bel Lahmama

Key Skills

Software

Data Annotation Tech

OneForma

Remotasks

Toloka

Telus

Scale AI

Appen

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Top Task Types

Evaluation Rating

Mapping

Prompt Response Writing SFT

Text Summarization

Translation Localization

Freelancer Overview

I have hands-on experience in data labeling, AI training data preparation, and transcription, which has equipped me with a strong understanding of data quality, consistency, and model performance optimization. My work has involved annotating large datasets for natural language processing (NLP) tasks, including text classification, sentiment analysis, and named entity recognition, ensuring accurate labeling aligned with project guidelines. I’ve also participated in transcription projects in both English and French, specifically for menu and audio content, demonstrating attention to detail, linguistic accuracy, and fast turnaround time. Additionally, I’ve contributed to large language model (LLM) evaluation tasks, helping assess model responses for relevance, coherence, and factual correctness. This involved using custom evaluation frameworks and strict annotation protocols, which strengthened my analytical and critical thinking skills. My combined background in transcription, data annotation, and LLM evaluation gives me a versatile profile well-suited for AI model training and quality assurance, setting me apart in roles that demand precision and a deep understanding of machine learning data pipelines.

Labeling Experience

Audio data labeling

AppenAudioEntity Ner ClassificationClassification

I have relevant experience in audio data labeling through my transcription work, where I transcribed and annotated audio files in both English and French. This included detailed segmentation, speaker identification, and contextual tagging, which aligns closely with the requirements for audio data labeling roles. My work demanded a high level of precision and consistency, especially when transcribing menu items and domain-specific terminology for training datasets. In addition to transcription, I have contributed to LLM evaluation and broader data annotation projects, where I applied strict labeling guidelines to ensure training data met quality standards for natural language processing models. This combination of audio transcription and structured annotation experience has given me a solid foundation in handling audio data for AI training

I have relevant experience in audio data labeling through my transcription work, where I transcribed and annotated audio files in both English and French. This included detailed segmentation, speaker identification, and contextual tagging, which aligns closely with the requirements for audio data labeling roles. My work demanded a high level of precision and consistency, especially when transcribing menu items and domain-specific terminology for training datasets. In addition to transcription, I have contributed to LLM evaluation and broader data annotation projects, where I applied strict labeling guidelines to ensure training data met quality standards for natural language processing models. This combination of audio transcription and structured annotation experience has given me a solid foundation in handling audio data for AI training

2024 - 2024

Education

Work History