Urdu Language Expert

In this hourly, remote contractor role, you will work as an Urdu Language Specialist (SME) to review AI-generated Urdu content and/or create high-quality Urdu reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback. You will assess outputs for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, and adherence to the prompt; identify errors in meaning, mistranslation, register (formal vs informal), ambiguity, RTL/script formatting, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Urdu writing; and rate and compare multiple AI responses based on correctness and overall quality.

This role is with SME Careers, a fast-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 expertise directly helps improve the world’s premier AI models by making their Urdu language output more natural, reliable, culturally accurate, and clearly written.

Requirements: - Bachelor’s degree or higher in Linguistics, Urdu Literature, English Literature, Communications, Journalism, Translation, or a related field, or equivalent professional experience. - Native or near-native Urdu proficiency, with strong reading and writing skills required. - Strong professional proficiency in English, minimum C1, to follow guidelines and provide detailed feedback in English. - 3+ years of professional experience in writing, editing, localization, translation, content QA, journalism, education, or related language-focused work. - Deep understanding of Urdu grammar, spelling conventions, punctuation, Nastaliq/script conventions, right-to-left formatting, tone, and style—able to explain why something is wrong and how to fix it. - Comfortable handling multiple registers, including formal/literary Urdu, conversational Urdu, Pakistan Urdu, India Urdu, and Urdu-English code-switching, depending on audience and project requirements. - High attention to detail when spotting subtle meaning shifts, awkward literal translations, incorrect gender or verb agreement, hallucinated claims, unnatural Persianized/Arabicized wording, or culturally mismatched phrasing. - Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones. - Prior experience with AI data training/annotation, translation QA, editorial QA, localization QA, or rubric-based evaluation is strongly preferred.