Adham Hossam

Key Skills

Software

Appen

Lionbridge

Telus

Other

Top Subject Matter

LLM Evaluation English/Arabic

Ads Quality Rater

Coding Review/Correction

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Computer Programming Coding

Data Collection

Evaluation Rating

Prompt Response Writing SFT

Text Generation

Freelancer Overview

I have extensive experience in data labeling and AI training data, having worked as an ads quality rater at Telus and Appen. In these roles, I evaluated and rated the quality of online advertisements, ensuring they met specific standards and correctly matched users' queries. My tasks included looking up queries to determine if the ads were relevant, assessing the appropriateness of product items, and evaluating landing pages, among various other tasks. Additionally, I have contributed to the development and improvement of AI-generated responses for large language models, specifically working on the model formerly known as Bard, now rebranded as Gemini. My responsibilities included evaluating the quality of chatbot responses, identifying areas for improvement, and selecting the best responses. This work has equipped me with a strong understanding of natural language processing, AI model training, and the nuances of creating human-like, contextually accurate responses.

Labeling Experience

Ads Quality Rater - English/Arabic/Swedish

TelusTextClassificationQuestion Answering

At Telus, I was responsible for a variety of tasks aimed at ensuring the quality and relevance of online content. My duties included looking up queries to determine if ads were relevant, assessing the appropriateness of product items, and evaluating landing pages. Additionally, I conducted search experience evaluations to gauge the usefulness of ads, performed app screenshot evaluations for the App Store and Google Play, and assessed keyword query relevance. I also evaluated the relevance of YouTube ads, determined the similarity of DSA pages, and conducted near-exact landing page evaluations, among other tasks. This diverse range of responsibilities helped me develop a keen eye for detail and a thorough understanding of digital content quality.

At Telus, I was responsible for a variety of tasks aimed at ensuring the quality and relevance of online content. My duties included looking up queries to determine if ads were relevant, assessing the appropriateness of product items, and evaluating landing pages. Additionally, I conducted search experience evaluations to gauge the usefulness of ads, performed app screenshot evaluations for the App Store and Google Play, and assessed keyword query relevance. I also evaluated the relevance of YouTube ads, determined the similarity of DSA pages, and conducted near-exact landing page evaluations, among other tasks. This diverse range of responsibilities helped me develop a keen eye for detail and a thorough understanding of digital content quality.

2024 - 2024

LLM Response Evaluation

OtherTextEvaluation RatingData Collection

At LXT, I played a critical role in the development and improvement of the language model formerly known as Bard, now rebranded as Gemini, while focusing on various rating metrics including writing, format, truthfulness/factuality, harmfulness, and overall quality. My tasks involved assessing the relevance and accuracy of responses, identifying inconsistencies, and providing detailed feedback to improve the model's performance. I compared multiple responses to determine the best fit for a given prompt, annotated responses with relevant tags, and collaborated with AI researchers and engineers to refine the model based on my evaluations. This role required a keen eye for detail, strong analytical skills, and the ability to communicate findings effectively.

At LXT, I played a critical role in the development and improvement of the language model formerly known as Bard, now rebranded as Gemini, while focusing on various rating metrics including writing, format, truthfulness/factuality, harmfulness, and overall quality. My tasks involved assessing the relevance and accuracy of responses, identifying inconsistencies, and providing detailed feedback to improve the model's performance. I compared multiple responses to determine the best fit for a given prompt, annotated responses with relevant tags, and collaborated with AI researchers and engineers to refine the model based on my evaluations. This role required a keen eye for detail, strong analytical skills, and the ability to communicate findings effectively.

2023 - 2024

Ads Quality Rater

AppenTextClassificationEvaluation Rating

At Appen, I was responsible for a variety of tasks aimed at ensuring the quality and relevance of online content. My duties included looking up queries to determine if ads were relevant, assessing the appropriateness of product items, and evaluating landing pages. Additionally, I conducted search experience evaluations to gauge the usefulness of ads, performed app screenshot evaluations for the App Store and Google Play, and assessed keyword query relevance. I also evaluated the relevance of YouTube ads, determined the similarity of DSA pages, and conducted near-exact landing page evaluations, among other tasks. This diverse range of responsibilities helped me develop a keen eye for detail and a thorough understanding of digital content quality.

At Appen, I was responsible for a variety of tasks aimed at ensuring the quality and relevance of online content. My duties included looking up queries to determine if ads were relevant, assessing the appropriateness of product items, and evaluating landing pages. Additionally, I conducted search experience evaluations to gauge the usefulness of ads, performed app screenshot evaluations for the App Store and Google Play, and assessed keyword query relevance. I also evaluated the relevance of YouTube ads, determined the similarity of DSA pages, and conducted near-exact landing page evaluations, among other tasks. This diverse range of responsibilities helped me develop a keen eye for detail and a thorough understanding of digital content quality.

2022 - 2024

Education

Work History