Punjabi Language Expert

SME Careers; Sindh; On-site; PKR 551,000 - 1,102,000; Full time

Job summary

SME Careers is seeking a Punjabi Language Specialist to review AI-generated Punjabi content and create high-quality reference content. You'll assess accuracy, fluency, grammar, tone, and cultural appropriateness, and provide precise feedback. This is an hourly, remote contractor role with international collaboration.

You will write rewrites and model answers, explain language choices, and help rate multiple AI responses for quality and reliability across time zones.

Qualifications

• Must have native or near-native Punjabi reading and writing skills.
• Strong command of English (C1 level) to provide feedback in English.
• 3+ years in writing, editing, translation, or content QA.

Responsibilities

• Review AI-generated Punjabi content for quality and accuracy.
• Develop high-quality Punjabi reference content and rewrites.
• Rate outputs for correctness, tone, and cultural appropriateness.

Skills

Punjabi language proficiency

English proficiency

Content QA

Editing

Translation

Education

Bachelor’s degree or higher in Linguistics/Communications/Journalism/Translation

Tools

AI data training tools

Job description

In this hourly, remote contractor role, you will work as a Punjabi Language Specialist (SME) to review AI-generated Punjabi content and/or create high-quality Punjabi 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, and logical consistency; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in Punjabi 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 Punjabi expertise directly helps improve the world’s premier AI models by making their Punjabi language output more natural, reliable, culturally accurate, and clearly written.

Key Responsibilities

• Develop AI Training Content: Create prompts and gold-standard Punjabi answers across multiple domains (general knowledge, customer support, education, conversational writing).
• Optimize AI Performance: Evaluate and rank AI outputs to improve fluency, correctness, tone match, and cultural appropriateness.
• Ensure Model Integrity: Detect unsafe or misleading content, factual hallucinations, bias, and policy-risk language; validate reliability across use cases.

Your Profile

• Bachelor’s degree (or higher) in Linguistics, Punjabi/English Literature, Communications, Journalism, Translation, or a related field (or equivalent professional experience).
• Native or near-native Punjabi proficiency (reading and writing 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 Punjabi grammar, spelling conventions, punctuation, and style—able to explain why something is wrong and how to fix it.
• Comfortable handling script requirements as needed: Gurmukhi (India) and/or Shahmukhi (Pakistan). Please indicate which script(s) you can read/write.
• Comfortable handling multiple registers (formal/informal), dialect variation, and audience adaptation (India vs Pakistan vs diaspora).
• High attention to detail when spotting subtle meaning shifts, awkward literal translations, hallucinated claims, 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, or rubric-based evaluation is strongly preferred.