Zineb A.

Key Skills

Software

Clickworker

Axiom AI

CrowdSource

Img Lab

Labelbox

Top Subject Matter

Multilingual AI content moderation and evaluation

Multimodal ML dataset annotation

Legal Services & Contract Review

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

AI Data Trainer & Content Reviewer | MAJOREL. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor's Degree, Semlalia Faculty (2024) and Baccalaureate, Zerktouni High School (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Data Trainer & Content Reviewer | MAJOREL

ImageClassification

Annotated and labeled multimodal data for machine learning training projects, including images alongside text and audio. I ensured annotations followed the provided labeling guidelines to support consistent model learning. I contributed to quality improvements by partnering with QA teams and iterating on annotation instructions. • Performed image annotation and tagging for training datasets • Ensured guideline-compliant labeling consistency • Participated in QA-driven refinement of labeling standards • Supported multilingual dataset requirements across Arabic, English, and French

2022 - 2024

AI Data Trainer & Content Reviewer | MAJOREL

Text

Trained and performed AI data labeling as an AI Data Trainer & Content Reviewer by annotating and evaluating AI-generated and user-generated content for quality and safety. I applied detailed guidelines to assess outputs for compliance, bias, and safety across Arabic, English, and French. I maintained high accuracy while sustaining high daily throughput in a metrics-driven environment. • Labeled text and annotated content according to project instructions • Reviewed for quality, bias, and safety compliance • Collaborated with QA teams to identify recurring data issues • Achieved >98% accuracy while processing 300+ tasks/day

2022 - 2024

Education

Work History