Ahmed Osman

Key Skills

Software

OneForma

CVAT

Appen

Clickworker

Toloka

Top Subject Matter

Search Intent Evaluation

Nlp Domain Expertise

Text-to-Image Generative AI

Top Data Types

Text

Image

Audio

Document

Top Task Types

Transcription

RLHF

Classification

Bounding Box

Polyline

Prompt + Response Writing (SFT)

Freelancer Overview

Search Intent & NLP Annotator. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OneForma, CVAT, and Appen. Education includes Bachelor of Social Work, Helwan University (2012) and Professional Certificate, York University / El-Teltizam Training Center (2018). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

AI Model Evaluator (GenAI)

CVATImageRLHF

As an AI Model Evaluator at Toloka, I review generative AI outputs for stylistic adherence and prompt fidelity in a high-impact text-to-image project. I provide critical feedback using reinforcement learning from human feedback (RLHF) to improve text-to-image diffusion models. My work focuses on ensuring visual outputs match prompts, styles, and user expectations. • Evaluate generated images for alignment with prompts. • Annotate and rate style, accuracy, and fidelity. • Provide HITL feedback in generative AI projects. • Use CVAT for detailed visual data labeling.

As an AI Model Evaluator at Toloka, I review generative AI outputs for stylistic adherence and prompt fidelity in a high-impact text-to-image project. I provide critical feedback using reinforcement learning from human feedback (RLHF) to improve text-to-image diffusion models. My work focuses on ensuring visual outputs match prompts, styles, and user expectations. • Evaluate generated images for alignment with prompts. • Annotate and rate style, accuracy, and fidelity. • Provide HITL feedback in generative AI projects. • Use CVAT for detailed visual data labeling.

2026 - Present

Search Intent & NLP Annotator

OneformaText

As a Search Intent & NLP Annotator at OneForma (Centific), I analyze complex search journeys and semantic patterns to optimize predictive accuracy in large language models. I perform high-level data auditing focused on aligning AI responses with nuanced human intent and diverse user journeys. My work directly improves the performance of search algorithms and NLP systems in multilingual contexts. • Analyze and evaluate web search queries and results. • Conduct deep semantic and intent annotation. • Perform accuracy and quality rating for search outputs. • Audit and label complex search-related datasets for LLM training.

As a Search Intent & NLP Annotator at OneForma (Centific), I analyze complex search journeys and semantic patterns to optimize predictive accuracy in large language models. I perform high-level data auditing focused on aligning AI responses with nuanced human intent and diverse user journeys. My work directly improves the performance of search algorithms and NLP systems in multilingual contexts. • Analyze and evaluate web search queries and results. • Conduct deep semantic and intent annotation. • Perform accuracy and quality rating for search outputs. • Audit and label complex search-related datasets for LLM training.

2026 - Present

Search Engine Evaluator

AppenText

As a Search Engine Evaluator at UHRS (Appen / Datamime), I specialize in Arabic query-to-product matching and landing page analysis for global search engines. I perform entity linking, crowd spam labeling, and data quality assessment. My efforts ensure high-quality datasets for machine learning models and search relevance tuning. • Assess and annotate search engine outputs and relevance. • Label spam, product linkage, and query intent. • Execute quality control and dataset curation tasks. • Evaluate Arabic language ML training data with top-tier accuracy.

As a Search Engine Evaluator at UHRS (Appen / Datamime), I specialize in Arabic query-to-product matching and landing page analysis for global search engines. I perform entity linking, crowd spam labeling, and data quality assessment. My efforts ensure high-quality datasets for machine learning models and search relevance tuning. • Assess and annotate search engine outputs and relevance. • Label spam, product linkage, and query intent. • Execute quality control and dataset curation tasks. • Evaluate Arabic language ML training data with top-tier accuracy.

2025 - Present

Linguistic Data Annotator

AudioTranscription

As a Linguistic Data Annotator with Outlier.ai, I analyzed and annotated over 200 hours of bilingual audio data in the Aether project. My responsibilities included phonetic and contextual labeling to improve automatic speech recognition (ASR) and speech-to-text (STT) models. I ensured high-fidelity transcriptions for both Arabic and English audio with rigorous QA standards. • Transcribe bilingual audio for STT datasets. • Provide phonetic and contextual labels in ASR workflows. • Annotate, review, and QA high-volume audio samples. • Support linguistic projects with nuanced annotation practices.

As a Linguistic Data Annotator with Outlier.ai, I analyzed and annotated over 200 hours of bilingual audio data in the Aether project. My responsibilities included phonetic and contextual labeling to improve automatic speech recognition (ASR) and speech-to-text (STT) models. I ensured high-fidelity transcriptions for both Arabic and English audio with rigorous QA standards. • Transcribe bilingual audio for STT datasets. • Provide phonetic and contextual labels in ASR workflows. • Annotate, review, and QA high-volume audio samples. • Support linguistic projects with nuanced annotation practices.

2025 - 2026

Education

Work History