Dylan Ben Oliel

Key Skills

Software

Telus

Data Annotation Tech

CrowdSource

Top Subject Matter

General AI/Natural Language Processing

Top Data Types

Text

Audio

Top Task Types

Question Answering

Evaluation Rating

Transcription

Freelancer Overview

I have professional experience in AI training data and data labeling, with a strong focus on linguistic content. As an AI Data Rater and QA Analyst at TELUS International, I reviewed and evaluated AI-generated responses in French and English, ensuring semantic accuracy, consistency, and adherence to project guidelines. I also verified annotated datasets produced by other team members, applying detailed quality standards and flagging inconsistencies to improve overall dataset reliability. Previously, I translated technical and marketing documents between French, English, and Japanese, which strengthened my attention to detail and ability to work with specialized terminology. These experiences have equipped me with strong analytical skills, precision in labeling and reviewing data, and the ability to deliver high-quality outputs independently while following structured guidelines—key qualities for contributing effectively to AI training and data annotation projects.

Labeling Experience

AI Data Rater & Quality Assurance Analyst (French/English)

TelusText

In this role, I evaluated and corrected AI-generated responses for semantic and linguistic quality. I also conducted quality assurance reviews on annotated data produced by other team members. Additionally, I classified prompts and defined criteria for high-quality outputs. • Evaluated AI-generated text for semantic and linguistic accuracy. • Classified prompts and set performance criteria for model outputs. • Performed quality assurance reviews on labeled data. • Conducted edge case testing to identify model weaknesses.

In this role, I evaluated and corrected AI-generated responses for semantic and linguistic quality. I also conducted quality assurance reviews on annotated data produced by other team members. Additionally, I classified prompts and defined criteria for high-quality outputs. • Evaluated AI-generated text for semantic and linguistic accuracy. • Classified prompts and set performance criteria for model outputs. • Performed quality assurance reviews on labeled data. • Conducted edge case testing to identify model weaknesses.

2025 - 2026

Education

Work History