Arabic Team Lead

About the Role

SME Careers is seeking an Arabic Quality Assurance Lead (QAL) for a remote, hourly contract position based in Riyadh, Saudi Arabia. This role involves overseeing quality, consistency, and trainer performance across Arabic AI training projects. The QAL will review AI-generated Arabic content and work from trainers and QAs, evaluating output against project guidelines and providing precise feedback to ensure adherence to quality standards.

Role Context and Impact

This position is with SME Careers, an AI Data Services company and subsidiary of SuperAnnotate, which provides training data to major AI companies. The Arabic Quality Assurance Lead will directly contribute to improving AI models by ensuring Arabic training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations. While there is no immediate project, qualified candidates will be among the first contacted for relevant opportunities and gain access to future projects within the expert network.

Key Responsibilities

• Monitor quality by spot-checking Arabic items, identifying issues, providing ongoing feedback, and escalating critical concerns.
• Communicate updates to trainers and QAs regarding new item guidelines, project changes, workflow updates, and quality expectations.
• Respond to trainer/QA questions promptly and clearly, particularly concerning Arabic wording, grammar, register, dialect, RTL formatting, translation fidelity, terminology, and cultural context.
• Manage trainer/QA activation by contacting inactive contributors, encouraging participation, tracking follow-ups, and flagging availability issues.
• Create and maintain Arabic project documentation, including style guides, trackers, FAQs, quality notes, examples, and onboarding materials.
• Schedule and conduct onboarding/training calls for trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Arabic-specific style requirements.
• Ensure consistent application of Arabic language guidelines by all trainers and QAs, and confirm understanding of project updates.
• Identify recurring quality gaps, propose workflow improvements, and contribute to building scalable QA processes for Arabic-language projects.

Qualifications and Requirements

• Bachelor’s or Master’s degree in Arabic, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a related field.
• Native or near-native Arabic proficiency with strong reading and writing skills.
• Strong grasp of the English language for following project guidelines, team communication, and providing feedback.
• 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.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is preferred.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong asset.

Application Process

The selection process includes an AI interview, a domain-specific task, and an interview with a recruiter.