Arabic Team Lead

About this role

As an Arabic Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Arabic AI training projects. You will review AI-generated Arabic content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

Arabic Language QA, LLM Evaluation, Trainer Management, Localization/Translation Quality

Responsibilities

• Quality monitoring: Spot-check Arabic items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Arabic wording, grammar, register, dialect, RTL formatting, translation fidelity, terminology, and cultural context.
• Documentation: Create and maintain Arabic project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Arabic-specific style requirements.

Qualifications

• Bachelor's or Master's degree in Arabic, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
• Native or near-native Arabic proficiency with strong reading and writing skills.
• 3+ years of professional experience in Arabic writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
• Strong understanding of Arabic grammar, spelling conventions, punctuation, diacritics, RTL formatting, tone, register, Modern Standard Arabic, and regional Arabic variation.
• Ability to evaluate Arabic content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect register, dialect inconsistency, hallucinated claims, ambiguity, or inconsistent terminology.