Marwane Lahfidi

Key Skills

Software

Appen

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Document

Text

Top Task Types

Classification

Data Collection

Prompt Response Writing SFT

Question Answering

Text Generation

Freelancer Overview

I have solid experience in AI training data, specializing in LLM evaluation, text annotation, and multilingual data labeling in English, French, and Arabic. My work includes assessing model outputs, improving reasoning quality, verifying system behavior, and providing high-quality structured annotations across text, code, and image-based tasks. With a strong foundation as a Java backend engineer (Spring Boot), I bring deep technical understanding to AI workflows, especially when handling code analysis, debugging tasks, and complex logic evaluation. I combine precision, consistency, and analytical thinking to deliver reliable, high-quality annotations that support the development of advanced AI systems.

Labeling Experience

LLM Evaluation and Multilingual Text Annotation Project

Scale AITextEntity Ner ClassificationQuestion Answering

I worked on large-scale AI training data projects focused on evaluating and improving LLM behavior across multilingual datasets (EN/FR/AR). My tasks included rating model outputs, checking factual accuracy, assessing reasoning quality, rewriting prompts, and generating high-quality responses for supervised fine-tuning. I also handled code understanding and debugging tasks, leveraging my Java/Spring Boot background to evaluate technical explanations, algorithms, and code snippets. In addition, I contributed to image-based verification tasks such as quality checks, classification, and identity/persona verification. Throughout the project, I followed strict quality guidelines, maintained consistency, and delivered high-precision annotations across thousands of examples.

I worked on large-scale AI training data projects focused on evaluating and improving LLM behavior across multilingual datasets (EN/FR/AR). My tasks included rating model outputs, checking factual accuracy, assessing reasoning quality, rewriting prompts, and generating high-quality responses for supervised fine-tuning. I also handled code understanding and debugging tasks, leveraging my Java/Spring Boot background to evaluate technical explanations, algorithms, and code snippets. In addition, I contributed to image-based verification tasks such as quality checks, classification, and identity/persona verification. Throughout the project, I followed strict quality guidelines, maintained consistency, and delivered high-precision annotations across thousands of examples.

2024

Education

Work History