

SME Careers

Global

Contract-based

Date Posted

Offered salary
$10-33 per hour

Closing date
Closing soon
Qualification
Bachelor's/Master's
Hiring location
Global
Experience
Middle to Senior level
Responsibilities
• Conduct regular spot checks on items and provide clear constructive feedback to trainers
• Escalate issues when necessary to maintain quality standards
• Keep trainers and QAs updated on Discord about new items or project changes
• Respond to questions in a timely and professional manner
• Monitor trainer and QA activity and proactively communicate with inactive contributors
• Create, maintain, and improve key documents such as style guides, trackers, FAQs, and honeypots
• Schedule, organize, and run onboarding and training calls with trainers and QAs
Requirements
• Bachelor's or Master's degree in Linguistics, Communication, Journalism, or related field
• Exceptional written Arabic with excellent grammar, syntax, and stylistic flexibility
• Hands-on experience with LLM projects, preferably in QA or lead roles
• Minimum C1 English for documentation and collaboration with a global team
• Analytical and detail-oriented with the ability to notice inconsistencies and guideline gaps
• Leadership mindset with comfort working independently and giving feedback
How to Apply
Click "Apply" to be taken to the SME Careers website. The application process involves filling out your profile, completing an interview, and taking an exam for certain roles. If you pass, you will receive an email and your profile will be reviewed before being contacted for project onboarding. If you do not pass, you can redo the interview. Payments are made weekly once work is approved.
Take the next step
SME Careers
Arabic Data Trainer Lead
Overview
SME Careers is looking for an Arabic speaking Quality Assurance Lead to help ensure consistently high standards in AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high quality Arabic content. You will play a crucial role in guaranteeing the quality and efficiency of AI training processes.



