For Localization and AI Teams

I work as an independent Arabic reviewer inside localization and AI data teams: English to Arabic, for software, documentation, and AI output. This page lists what vendor and resource managers usually ask for first.

Arabic localization quality review

• Arabic LQA and linguistic review of translated software, UI strings, and documentation
• Review of machine translation output
• Terminology and style guide work, including feedback to translation teams
• In-context UI checks: right-to-left layout, mixed Arabic-English text, numbers, dates, and currencies
• Subtitle review (100+ videos subtitled, English to Arabic)
• Arabic style guides: authored for most Oracle product lines, from business applications such as ERP and CRM to technology tools and AI services such as OCI Language and OCI Speech

Arabic AI evaluation

• Evaluation of Arabic LLM responses: accuracy, terminology, tone, dialect, and hallucination-related errors
• Rating and ranking responses against written guidelines
• Arabic text-to-speech evaluation: pronunciation accuracy and naturalness (Oracle Cloud, 2025)
• Machine translation evaluation, including LLM-based machine translation (Oracle Cloud Language AI)
• Data annotation and golden datasets for AI services such as OCI Language (text analysis, sentiment, PII detection)

Working details

• Language pair: English to Arabic (Modern Standard Arabic; Egyptian Arabic for dialect work)
• Target locales: Saudi Arabia, United Arab Emirates, and pan-Arab
• Tools: Trados, memoQ, Phrase
• Time zone: Cairo (Egypt)
• Availability: 20–40 hours per week
• Confidentiality: happy to sign your NDA before any test or project
• Rates: on request

Background

33 years in Arabic localization, 28 of them at Oracle, where I headed Arabic localization quality across 700+ products and managed external vendor teams. More about me.

Public profiles: ProZ · TranslatorsCafe · LinkedIn

Email info@dareenlingo.com for my CV, a test, or onboarding.