Urdu Language Expert

About this role
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.

Your profile

• 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.

Key responsibilities

• Develop AI Training Content: Create prompts and gold-standard Urdu answers across multiple domains, including general knowledge, customer support, education, conversational writing, translation, localization, and culturally sensitive content.
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, register consistency, meaning preservation, RTL/script formatting, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, mistranslations, ambiguity, policy-risk language, and culturally inappropriate phrasing; validate reliability across use cases.