In this hourly, remote contractor role, you will work as an Urdu Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Urdu AI training projects. You will review AI-generated Urdu 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.

You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Urdu and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.

This role is with SME Careers, a quick-growing AI Data Services company and subsidiary of SuperAnnotate,



delivering training data for many of the world’s largest AI companies and foundation-model labs. Your Urdu quality leadership will directly help improve the world’s premier AI models by ensuring that Urdu training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Key Responsibilities

Quality monitoring: Spot-check Urdu 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 Urdu wording, register, translation fidelity, cultural context, RTL formatting, Nastaliq s

📌 Urdu Team Lead (India)
🏢 SME Careers
📍 India