Arabic Quality Assurance Lead (QAL)

As an Arabic Quality Assurance Lead (QAL), you will oversee quality, consistency, and contributor performance across Arabic AI training projects.

You will review AI-generated Arabic content as well as trainer and QA work, evaluate outputs against project guidelines, provide detailed written feedback, and ensure adherence to quality standards.

This role combines language expertise, quality management, contributor support, documentation, and process improvement responsibilities within large-scale AI training programs.

Your work will directly contribute to improving some of the world's leading AI models by ensuring Arabic training data is accurate, natural, culturally appropriate, and aligned with client expectations.

Key Responsibilities

Quality Monitoring

• Review and spot-check Arabic training items
• Identify quality issues and recurring patterns
• Provide feedback to contributors
• Escalate critical quality concerns when necessary

Trainer & QA Communication

• Communicate updates regarding:

  • Guidelines
  • Workflow changes
  • Project requirements
  • Quality expectations

• Support contributors through Discord and other communication channels

Question Handling

• Answer questions related to:
  • Arabic grammar
  • Translation quality
  • Register and tone
  • Dialect usage
  • RTL formatting
  • Terminology consistency
  • Cultural appropriateness

Contributor Activation

• Contact inactive contributors
• Encourage project participation
• Track follow-ups and contributor availability

Documentation

• Create and maintain:
  • Style guides
  • FAQs
  • Quality trackers
  • Onboarding materials
  • Quality notes
  • Example libraries
  • Honeypots

Onboarding & Training

• Conduct onboarding sessions
• Explain:
  • Project workflows
  • Rubrics
  • Quality expectations
  • Arabic language standards

Quality Alignment

• Ensure consistent application of Arabic language guidelines
• Communicate project updates and evolving standards

Process Improvement

• Identify recurring quality issues
• Recommend workflow improvements
• Help build scalable Arabic QA processes

Required Qualifications

• Bachelor's or Master's degree in:

  • Arabic
  • Linguistics
  • Translation
  • Communications
  • Journalism
  • English
  • Education
  • Quality Assurance
  • Related fields

• Native or near-native Arabic proficiency

• Strong written and spoken English skills

• Minimum 3 years of experience in:

  • Arabic writing
  • Editing
  • Translation
  • Localization
  • Content QA
  • AI training
  • Annotation
  • Language review workflows

Language Expertise

Strong understanding of:

• Modern Standard Arabic (MSA)
• Arabic grammar
• Spelling conventions
• Punctuation
• Diacritics
• RTL formatting
• Tone and register
• Regional dialect variation

Evaluation Skills

Ability to identify:

• Mistranslations
• Literal phrasing
• Unnatural wording
• Register issues
• Dialect inconsistencies
• Hallucinations
• Ambiguity
• Terminology inconsistencies

Preferred Experience

• Managing trainers, reviewers, editors, annotators, or QA teams
• AI training and annotation projects
• Prompt and response evaluation
• Rubric-based LLM evaluation

Skills & Technologies

• Arabic Quality Assurance
• AI Training
• LLM Evaluation
• Translation Quality Review
• Localization QA
• Modern Standard Arabic
• Dialect Review
• Style Guide Development
• English Communication

Selection Process

1. AI Interview
2. Domain-specific task
3. Recruiter interview

Important Note

There may not be an immediate project assignment. Qualified candidates will join the expert network and may be contacted for future opportunities.

Why Work with SME Careers?

Shape the Future of AI

Your work directly impacts how AI systems learn and communicate.

Flexible Work

Choose your own schedule and work remotely.

Weekly Payments

Receive payments once approved work is completed.

Community Rewards

Earn referral bonuses through the SME Careers referral program.

About SME Careers

SME Careers is an AI Data Services company and subsidiary of SuperAnnotate.

The company supports many of the world's largest AI organizations by providing high-quality training data and expert evaluation services for frontier AI systems.