The Human Layer Behind Arabic AI
We help global AI companies build, evaluate, and refine Arabic language models with expert human data operations — from LLM evaluation to RLHF, annotation, and AI safety.
Arabic Medical AI — Built With Clinicians
Most Arabic AI vendors annotate medical data without a single doctor on the team. ArabAlign is different: every medical AI project is designed, reviewed, and validated by board-certified Arabic-speaking physicians.
Clinical Validation
Physicians review all medical outputs for clinical accuracy, not just linguistic quality.
Zero Tolerance for Medical Error
Medical AI demands a higher standard. Our 4-tier QA applies additional clinical review for all healthcare projects.
Domains Covered
Clinical documentation, medical NLP, patient dialogue, diagnostic AI, and Arabic health chatbot evaluation.
Real Work. Verified Results.
A sample of what ArabAlign has delivered.
Medical Dialogue Transcription QA
AI Training Company — 10 Hours of Clinical Recordings
An AI training company needed accurate transcriptions of doctor-patient dialogues in Saudi Arabic for medical model development. Initial transcriptions — produced without clinical expertise or Saudi dialect knowledge — contained compounding errors across both medical terminology and dialectal accuracy.
ArabAlign deployed a licensed physician and a Saudi dialect specialist to review all 10 hours independently. Coverage included Hijazi, Najdi, and mixed Saudi varieties, with full QA documentation structured for model ingestion.
Hijazi · Najdi · Mixed Saudi · Clinical Terminology · Medical AI · QA Validation
Client identity protected under NDA.
Mobile App Localization QA
Tech Startup — Classified Ads Platform — Full App Review
A tech startup building an Arabic-market classified ads platform used AI-generated translation to localize their app from English to Arabic. The translated content was delivered in a structured Excel file covering the full app interface.
ArabAlign reviewed the entire translation across three dimensions: linguistic accuracy, cultural adaptation for Arab market conventions, and live UX testing with documented bug reports delivered via screenshots and screen recordings.
Key finding: AI translation rendered North American conventions — such as property listing formats — with no adjustment for Arab market expectations. Every such instance was identified, flagged, and rewritten for regional context.
“his deep understanding of language, culture, and user context improved the app significantly”
AI Translation QA · Arabic Localization · RTL UX · Cultural Adaptation · Marketplace Arabic · Bug Documentation
Client identity protected. Review published with permission.
Saudi Arabic Voice Data Collection
AI Training Company — 700+ Utterances — Gender-Balanced Dataset
An AI company needed a high-quality Saudi Arabic speech dataset for model training — 700+ utterances recorded by verified native speakers under strict AI-grade audio standards. The requirement was explicit: human-only recordings, natural native accent, zero synthetic or AI-generated audio.
ArabAlign sourced and coordinated four verified native Saudi Arabic speakers — 2 male, 2 female — delivering a gender-balanced dataset through the client's internal recording tool following their exact specifications. Every file passed quality validation before milestone release. No re-recordings were requested.
“Great work.”
Voice Data Collection · Native Saudi Arabic · Gender-Balanced · AI Training Data · Human-Only Recording · Audio QA
Client identity protected. Review published with permission.
Large-Scale Audio QA — Saudi Arabic
AI Training Company — 1,500+ Utterances — 3-Layer QA
An AI training company needed rigorous quality assurance on a large Saudi Arabic audio dataset — 1,500+ recorded utterances — before ingestion into their model pipeline. The QA requirement covered three dimensions simultaneously: recording quality, script compliance, and dialect and pronunciation accuracy.
ArabAlign reviewed all 1,500+ utterances across three independent verification layers: audio quality, exact script compliance, and native Saudi Arabic dialect and pronunciation verification. Every rejected file was documented with specific failure reasons to enable targeted re-recording.
Without this QA layer, nearly one in three files would have entered the AI training pipeline with documented defects.
“You have successfully completed your QA batch. Thank you for your hard work and support throughout the project. We look forward to working with you again on future projects.”
Audio QA · Saudi Arabic · Script Compliance · Dialect Verification · Pronunciation Review · AI Training Data · Large-Scale QA
Client identity protected. Review published with permission.
Multi-Dialect Audio QA & AI Fraud Detection
AI Training Company — 1,000+ Files — Qatari · Saudi · Kuwaiti · Emirati Arabic
An AI training company needed expert script alignment and editing across 1,000+ audio files spanning four Gulf Arabic dialects. Each file came with a full AI-generated script — the task was to identify the exact matching segment, edit for accuracy, and flag any deviations.
During review, ArabAlign detected two layers of fraud invisible to standard QA: over 25% of recordings showed clear markers of AI-generated speech — unnatural pronunciation, abnormal utterance length, and completely flat intonation with zero emotional variation across all sentiment contexts — neutral, surprised, sad, or excited. No human speaks this way. AI does.
The more critical finding: recordings requiring two speakers — one male, one female — had been generated by a freelancer using the same AI voice model for both. Same acoustic fingerprint. Same prosody. Different labels. Without native multi-dialect expertise and phonetic sensitivity, these files would have entered the training pipeline undetected — permanently corrupting the model's understanding of natural Arabic dialogue.
Critical finding: A freelancer used the same AI voice model to generate both male and female speakers — submitted as verified dual-speaker human recordings. Detected through prosodic analysis and acoustic pattern recognition.
“Excellent”
Synthetic Speech Detection · Script Alignment · Gulf Arabic · Qatari Arabic · Kuwaiti Arabic · Emirati Arabic · Saudi Arabic · Audio QA · AI Fraud Detection · Dual-Speaker Verification
Client identity protected. Feedback shared with permission.
Arabic Document Dataset — Multi-Domain Collection & QA
International AI Platform — 100+ Documents — 14+ Categories
A structured data collection project requiring sourcing, validation, and delivery of authentic Arabic documents across 14+ real-world domains. The client mandated strict format compliance — handwritten and digital Arabic only — alongside layout verification, minimum word-count QA, and full PII anonymization at every stage.
ArabAlign delivered a complete, production-ready dataset spanning legal contracts, financial and environmental reports, tax filings, medical records, administrative forms, insurance documents, and newspapers — in two distinct Arabic document formats, with each document validated against structural, linguistic, and authenticity criteria before final delivery.
Arabic Document Collection · Dataset Creation · OCR Training Data · Multi-Domain Arabic · Document QA · PII Anonymization · Handwritten Arabic · Digital Arabic
Client identity protected under NDA.
Complete Arabic AI Data Operations
Every Arabic AI capability your models need to achieve human-level quality — from one specialized partner.
Arabic LLM Evaluation
Expert human evaluation of Arabic LLMs for linguistic accuracy, cultural alignment, and contextual quality.
RLHF & Human Preference
Native Arabic preference signals to align AI with genuine user expectations.
Prompt Evaluation
Assess Arabic prompts for clarity, instruction-following, and cultural appropriateness.
AI Response Ranking
Human-powered ranking of AI outputs to build preference datasets.
AI Quality Assurance
End-to-end QA pipelines for Arabic AI before deployment.
Arabic Localization
Culturally authentic localization of AI interfaces and outputs.
Linguistic QA
Deep review of MSA grammar, morphology, and dialectal accuracy.
Data Annotation
Precision annotation of Arabic text, audio, and multimodal data.
Dataset Creation
Custom Arabic datasets from domain corpora to conversational benchmarks.
Data Validation
Multi-layer validation for accuracy, consistency, and bias-awareness.
Arabic Speech Data
Collection, transcription, and annotation across dialects for ASR/TTS.
OCR Validation
Validation of Arabic OCR — complex script, handwriting, historical texts.
Domain Expert Evaluation
Specialists in law, finance, science, and technical Arabic domains.
Medical AI Evaluation
Clinically-informed evaluation of Arabic medical AI for accuracy and safety.
AI Safety Evaluation
Red-teaming and safety assessment for harmful outputs and bias.
Data Collection
Structured collection of authentic Arabic data from diverse regional sources.
Built for the World's Leading AI Teams
We serve the full spectrum of companies building products that require expert Arabic language data.
AI & LLM Developers
Build Arabic capabilities into foundation models with expert human feedback and evaluation.
Speech AI Companies
Create accurate Arabic ASR and TTS systems with quality-annotated speech data.
Generative AI Startups
Launch Arabic GenAI products with culturally aligned, human-verified training pipelines.
OCR & Document AI
Validate Arabic OCR systems across script types, handwriting, and print.
NLP Platforms
Advance Arabic NLP with annotated corpora and expert linguistic review.
Localization Companies
Deliver authentic Arabic localization validated by native linguists.
Technology Enterprises
Integrate Arabic AI into enterprise products with confidence and rigorous QA.
Healthcare AI
Build safe Arabic medical AI with domain-expert evaluation and clinical validation.
From Request to Delivery
A structured, transparent workflow designed for precision and full client alignment at every stage.
Client Request
Share your goals, data requirements, quality expectations, and timeline.
Project Planning
We design a custom workflow, team structure, and quality framework.
Team Selection
Hand-picking Arabic linguists, domain experts, and AI specialists.
Execution
Precise, structured delivery of tasks at your required scale.
Multi-Stage QA
Peer review, senior linguist review, and consistency verification.
Final Review
Project-lead validation against your agreed specifications.
Delivery
FinalClean, structured data in your preferred format with full documentation.
Four-Tier Quality Assurance System
Every output passes through four stages of expert review before it reaches you — no shortcuts.
Trained Execution
Tasks performed by trained Arabic annotators following strict project guidelines and style guides.
Peer Review
Independent review by a second linguist to catch errors and guideline deviations.
Senior QA Review
Expert-level review by senior Arabic linguists for peak linguistic and cultural quality.
Final Validation
Project-lead validation with IAA tracking and client-defined quality benchmarks.
Why Global AI Teams Choose Us
Not an off-the-shelf annotation vendor. A specialized Arabic AI data partner — built for precision, not volume.
Arabic-First Specialization
100% specialized in Arabic AI. Our depth creates outputs no generic service can match.
Proven Delivery
Successful track record on Arabic AI projects for international technology companies.
Cultural Intelligence
Native understanding of dialects, context, and nuance that automated tools cannot replicate.
Enterprise-Grade QA
4-tier review frameworks, IAA tracking, and client-defined benchmarks on every project.
Domain Experts On Demand
Specialists in medical, legal, financial, and technical Arabic.
Scalable Operations
From pilots to enterprise pipelines, we scale without compromising quality.
Ready to Build Better Arabic AI?
Let's design a custom Arabic data operations solution for your team.
Start a Project TodayArabic AI Expertise With Global Reach
ArabAlign was built by an Arabic language AI specialist with a proven track record delivering data operations projects for global AI companies. Our founder identified a critical gap: Arabic AI needed far more than generic annotation — it demanded deep linguistic expertise, cultural intelligence, and AI-first workflows.
We are not a translation company. We are not a traditional annotation firm. We are an Arabic AI Data Operations partner — built to power the world's most ambitious Arabic AI projects.
"Arabic AI deserves the same depth of human expertise that powers the best English-language models. That's precisely what we deliver."
— Founder, ArabAlign
The Team Behind ArabAlign
A specialized team built for Arabic AI — not assembled overnight.
AI & Technical Expertise
Arabic AI specialists with hands-on experience delivering data operations for international AI companies. Focused on precision workflows, scalable pipelines, and client-defined quality benchmarks.
Medical Expertise
Board-certified Arabic-speaking physicians who design, evaluate, and validate all medical AI projects. Clinical accuracy — not just linguistic quality. This is what separates ArabAlign from generic vendors.
Arabic Linguistics Expertise
Specialists in Arabic morphology, dialect variation, MSA standards, and NLP-specific linguistic annotation — covering the full spectrum from classical Arabic to regional spoken dialects.
Why Maghrebi Arabic Challenges AI Systems
Moroccan, Algerian, and Tunisian Arabic combine dialectal variation, phonetic differences, localized vocabulary, and frequent Arabic–French code-switching. French influence is one important factor among several interacting ones, which places these among the more challenging Arabic varieties for AI systems — and makes experienced human linguistic expertise particularly valuable in Arabic AI data operations.
Moroccan Arabic
- Darija
- Strong French influence
- Distinctive vocabulary and phonology
- High linguistic variation
Algerian Arabic
- Darija
- Arabic–French code-switching
- Regional variation
- Complex spoken-language patterns
Tunisian Arabic
- Tunisian Derja
- Arabic–French interaction
- Distinctive vocabulary
- Strong divergence from formal written Arabic in everyday speech
Why Arabic NLP Systems Struggle
Arabic–French Code-Switching
Speakers frequently shift between Arabic and French within the same sentence, which standard Arabic NLP models are not trained to parse.
Dialectal Vocabulary
Everyday terms differ significantly from Modern Standard Arabic and from other regional dialects, limiting cross-dialect model transfer.
Pronunciation Variation
Phonetic patterns diverge from MSA and vary further across Morocco, Algeria, and Tunisia, affecting ASR accuracy.
Informal Spoken Language
Natural speech includes word reduction, elision, and colloquial structures rarely represented in formal training text.
Regional Diversity
Vocabulary and pronunciation shift meaningfully even within a single country, adding further variation for models to handle.
Limited High-Quality Data
Representative, high-quality datasets for these varieties remain scarcer than for better-resourced Arabic varieties, constraining model performance.
Native Maghrebi Expertise
ArabAlign's team includes native Moroccan and Algerian Arabic speakers who support dialect-specific data collection, transcription, linguistic QA, localization, and AI evaluation.
Frequently Asked Questions
Everything you need to know about working with ArabAlign.
Start Your Arabic AI Project
Ready to build better Arabic AI? Tell us about your project and we'll design a custom data operations solution.