Omar Hamuda

Key Skills

Software

Clickworker

CrowdSource

Data Annotation Tech

Labelbox

Mindrift

OneForma

Scale AI

Surge AI

Toloka

Telus

Other

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Classification

Emotion Recognition

Evaluation Rating

Prompt Response Writing SFT

RLHF

Freelancer Overview

I have over two years of hands-on experience in AI training and data annotation, specializing in high-quality data labeling for natural language processing tasks in both Arabic and English. My work has involved training AI models through reinforcement learning from human feedback (RLHF), conducting prompt-response evaluations, and performing precise data classification and text annotation to enhance model performance. I am detail-oriented, consistent, and able to follow complex guidelines across diverse projects.

Labeling Experience

Ai tTrainer

Data Annotation TechTextTranslation LocalizationRLHF

I have worked on multiple projects involving the creation, evaluation, and ranking of AI-generated responses. My responsibilities included editing responses to ensure alignment with prompt requirements and categorizing them across various dimensions such as relevance, tone, clarity, and factual accuracy. This work contributed to refining model outputs and improving the overall quality and reliability of AI-generated content.

I have worked on multiple projects involving the creation, evaluation, and ranking of AI-generated responses. My responsibilities included editing responses to ensure alignment with prompt requirements and categorizing them across various dimensions such as relevance, tone, clarity, and factual accuracy. This work contributed to refining model outputs and improving the overall quality and reliability of AI-generated content.

2024

AI trainer

Data Annotation TechAudioClassificationText Generation

The project involves creating, transcribing, and categorizing audio recordings as either in-scope or out-of-scope, with the inclusion of background noise. This data is used to train AI models to better recognize and adapt to real-world acoustic environments.

The project involves creating, transcribing, and categorizing audio recordings as either in-scope or out-of-scope, with the inclusion of background noise. This data is used to train AI models to better recognize and adapt to real-world acoustic environments.

2024

AI trainer

Scale AITextClassificationQuestion Answering

At Outlier, I worked on approximately 20 diverse projects over the span of two years, covering a range of tasks including math, coding, and language-focused data. The majority of my work centered on Egyptian Arabic and Modern Standard Arabic (MSA), where I contributed to a variety of project types such as Reinforcement Learning from Human Feedback (RLHF), Personally Identifiable Information (PII) redaction, audio classification, and image annotation. My experience spans a wide spectrum of AI training data tasks, showcasing my adaptability, attention to detail, and ability to work effectively across different data modalities and project guidelines.

At Outlier, I worked on approximately 20 diverse projects over the span of two years, covering a range of tasks including math, coding, and language-focused data. The majority of my work centered on Egyptian Arabic and Modern Standard Arabic (MSA), where I contributed to a variety of project types such as Reinforcement Learning from Human Feedback (RLHF), Personally Identifiable Information (PII) redaction, audio classification, and image annotation. My experience spans a wide spectrum of AI training data tasks, showcasing my adaptability, attention to detail, and ability to work effectively across different data modalities and project guidelines.

2023

Education

Work History