Urdu Quality Assurance Lead (QAL)📣 Job Ad

About the Role

SME Careers, an AI Data Services company and a subsidiary of SuperAnnotate, is seeking an Urdu Quality Assurance Lead (QAL) for a remote, contract-based hourly position. This role is integral to overseeing the quality, consistency, and performance of trainers involved in Urdu AI training projects. The primary focus will be on reviewing AI-generated Urdu content and the work of trainers and Quality Assurance personnel, evaluating output against project guidelines, providing detailed written feedback, and ensuring adherence to established quality standards.

This position offers an opportunity to contribute to the enhancement of AI models by ensuring Urdu training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations. Candidates will join a team that provides training data for major AI companies and foundation-model labs. The selection process includes an AI interview, a domain-specific task, and an interview with a recruiter. While there is no immediate project, qualified candidates will be prioritized for relevant upcoming opportunities and gain access to future projects through the company's expert network.

Key Responsibilities

• Conduct quality monitoring through spot-checking Urdu items, identifying quality issues, providing ongoing feedback via direct messages, and escalating recurring or critical issues.
• Communicate effectively with trainers and QAs on Discord, sharing updates on new item guidelines, project changes, workflow adjustments, and quality expectations.
• Respond clearly and promptly to trainer/QA inquiries, particularly regarding Urdu wording, register, translation fidelity, cultural context, RTL formatting, Nastaliq script conventions, Pakistan vs. India usage, and edge cases.
• Manage trainer/QA activation by messaging inactive contributors, encouraging engagement, tracking follow-ups, and flagging availability issues when necessary.
• Create and maintain comprehensive Urdu project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Schedule and conduct onboarding and training sessions with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Urdu-specific style and script requirements.
• Ensure consistent application of Urdu language guidelines by all trainers and QAs, and facilitate understanding of updates as projects evolve, maintaining team quality alignment.
• Identify recurring quality gaps, propose workflow improvements, and contribute to building scalable QA processes for Urdu-language projects.

Qualifications and Requirements

• Bachelor's or Master's degree in Urdu, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a closely related field.
• Native or near-native Urdu proficiency with strong reading and writing skills.
• Strong command of the English language for following project guidelines, team communication, and providing feedback.
• 3+ years of professional experience in Urdu writing, editing, translation, localization, content QA, AI training, education, annotation, or related language review workflows.
• Demonstrated understanding of Urdu grammar, spelling conventions, punctuation, tone, register, cultural context, Nastaliq script conventions, and right-to-left formatting.
• Comfort in handling variations in Urdu, including Pakistan Urdu, India Urdu, formal/literary Urdu, and conversational usage, as per project requirements.
• Ability to evaluate Urdu content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect register, script/formatting problems, hallucinated claims, ambiguity, or inconsistent terminology.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• Comfort working in fast-moving remote environments utilizing tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• High attention to detail and organizational skills, with the capability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, and other quality documentation.
• Experience with AI training, data annotation, large language models, prompt/response evaluation, or rubric-based LLM QA is a strong plus.

Required Skills

• Urdu Language Proficiency (Native/Near-Native)
• English Language Proficiency
• Attention to Detail
• Structured Communication
• Quality Assurance Principles
• Deep understanding of Urdu Grammar, Spelling Conventions, Punctuation, Tone, Register, and Cultural Context
• Familiarity with Nastaliq Script Conventions and Right-to-Left Formatting
• Proficiency in handling Pakistan Urdu, India Urdu, Formal/Literary Urdu, and Conversational Urdu
• Experience with AI Training Data, Data Annotation, and Large Language Models
• Skills in Prompt/Response Evaluation and Rubric-based LLM QA
• Proficiency with Collaboration Tools including Discord, Google Sheets, and Google Docs

Work Environment and Contract Details

This is a remote, contract-based hourly role. The company, SME Careers, operates within the AI Data Services sector. While specific cities are not listed, the role is associated with the region of Saudi Arabia. The required experience for this position is 2-5 years.