Punjabi Expert with Mathematical Background

SME Careers; Brampton; Remote; CAD 34,000 - 55,000; Part time

Job summary

SME Careers is seeking a Punjabi Language Specialist for an hourly, remote contractor role. You will review AI-generated Punjabi content and create high-quality reference content, evaluating language quality and step-by-step reasoning while providing precise written feedback.

As part of our AI data services, you will develop prompts and gold-standard answers across domains, rank AI outputs for fluency and cultural appropriateness, and identify errors in meaning, tone, and consistency.

Qualifications

• Bachelor’s degree (or higher) in Mathematics.
• Native or near-native Punjabi reading and writing.
• Strong English proficiency (C1).
• 3+ years in writing, editing, localization or related language work.
• Deep understanding of Punjabi grammar, spelling and style.

Responsibilities

• Develop AI training content: prompts and gold-standard Punjabi answers.
• Evaluate AI outputs for fluency, tone and cultural accuracy.
• Detect unsafe or biased content; provide feedback and rewrites.

Skills

Punjabi proficiency

English proficiency

Editorial/QA experience

Localization practice

Education

Bachelor’s degree in Mathematics

Tools

AI data 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 Mathematics
• 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 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.