Abderrahim Idrissi

Key Skills

Software

Appen

Remotasks

SuperAnnotate

Scale AI

Label Studio

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Task Types

Classification

Data Collection

Mapping

Text Generation

Freelancer Overview

With a strong mathematics foundation and fluency in Arabic, French, and English, I hold a balance of analytical precision and multilingual flexibility that enables me to shine at AI training data tasks. Working experience in image annotation, object detection, and background editing places me in an ideal position for computer vision tasks such as bounding box annotation and scene classification. My detail orientation and pattern recognition are founded upon many years of learning in high-level math, which allows me to contribute significantly to accuracy and quality of data. I also have a curiosity about large language models (LLMs) and natural language processing with hands-on experience in evaluating AI-generated text across various languages. I possess competency in sentiment analysis, intent tagging, and translation checking. Trilingual competence and scientific thinking make me suitable for multilingual AI training and evaluation tasks.

Labeling Experience

Multilingual Image & Text Annotation for AI Model Training

Label StudioTextClassificationData Collection

Contributed to a multilingual AI dataset by performing high-accuracy labeling tasks in Arabic, French, and English. For image data, I annotated objects (cars, backgrounds, human poses) using bounding boxes for computer vision training. For text data, I evaluated and corrected AI-generated responses, classified intent and sentiment, and translated/localized content across three languages.

Contributed to a multilingual AI dataset by performing high-accuracy labeling tasks in Arabic, French, and English. For image data, I annotated objects (cars, backgrounds, human poses) using bounding boxes for computer vision training. For text data, I evaluated and corrected AI-generated responses, classified intent and sentiment, and translated/localized content across three languages.

2024 - 2024

Mathematical Data Annotation for AI Tutoring Systems

Data Annotation TechDocumentClassificationQuestion Answering

Worked on a data labeling project for an AI-powered tutoring assistant, focused on mathematics and science subjects. Tasks included classifying question difficulty levels, generating accurate step-by-step solutions, verifying AI-generated responses for correctness, and crafting new prompts for fine-tuning the model’s reasoning abilities. The dataset covered high school to early university-level topics (algebra, calculus, physics). Special attention was given to mathematical notation formatting, logical flow, and pedagogical clarity to meet educational quality standards.

Worked on a data labeling project for an AI-powered tutoring assistant, focused on mathematics and science subjects. Tasks included classifying question difficulty levels, generating accurate step-by-step solutions, verifying AI-generated responses for correctness, and crafting new prompts for fine-tuning the model’s reasoning abilities. The dataset covered high school to early university-level topics (algebra, calculus, physics). Special attention was given to mathematical notation formatting, logical flow, and pedagogical clarity to meet educational quality standards.

2024 - 2024

Education

Work History