Izrael

Key Skills

Software

Telus

Micro1

Mercor

OneForma

Scale AI

Toloka

Appen

Top Subject Matter

Prompt evaluation

content safety

bias detection

Top Data Types

Text

Image

Video

Document

Top Task Types

Evaluation/Rating

Transcription

RLHF

Object Detection

Bounding Box

Freelancer Overview

Data Annotation (Evaluator). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus. Education includes Bachelor of Pharmacy, Nnamdi Azikiwe University, School of Pharmacy, Agulu Campus (2023) and West African Senior School Certificate, Bishop Crowther Seminary, Awka (2015). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotator

ImageBounding Box

With the use of bounding boxes, I was able to label, edit, and remove different images or image properties.

With the use of bounding boxes, I was able to label, edit, and remove different images or image properties.

2026 - 2026

Search Quality Rater

ImageEvaluation Rating

I evaluated different search blocks and individual pages to determine their quality or usefulness in relation to the prompt.

I evaluated different search blocks and individual pages to determine their quality or usefulness in relation to the prompt.

2024 - 2025

AI Data Evaluator (Prompt & Data Annotation)

TelusTextEvaluation Rating

I reviewed prompt search results across various text and image descriptions to ensure accuracy, relevance, toxicity, and bias. My responsibilities involved identifying and correcting inconsistencies to maintain high-quality training data for language models. Each item was assessed using defined guidelines to enhance the performance of AI systems. • Evaluated text and image content for compliance with quality standards. • Identified and flagged potential toxic or biased outputs in data. • Collaborated with team members to align on evaluation criteria. • Used proprietary tools as part of Telus International's data labeling process.

I reviewed prompt search results across various text and image descriptions to ensure accuracy, relevance, toxicity, and bias. My responsibilities involved identifying and correcting inconsistencies to maintain high-quality training data for language models. Each item was assessed using defined guidelines to enhance the performance of AI systems. • Evaluated text and image content for compliance with quality standards. • Identified and flagged potential toxic or biased outputs in data. • Collaborated with team members to align on evaluation criteria. • Used proprietary tools as part of Telus International's data labeling process.

2024 - 2025

Education

Work History