Punjabi Team Lead (Remote)

• Rate: $20 – $25/hr
• Hours: 20 hours / week
• Experience: 1 - 3 years
• Location: Canada | India + 1 more

About this role

Interview language: English

In this hourly, remote contractor role, you will work as a Punjabi Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across Punjabi AI training projects. You will review AI-generated Punjabi content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

You will assess work for accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning preservation, instruction-following, formatting, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong Punjabi and English skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote teams.

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 quality leadership will directly help improve the world’s premier AI models by ensuring that Punjabi training data is natural, accurate, culturally appropriate, well-documented, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Your profile

• Bachelor’s or Master’s degree in Punjabi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.
• Native or near-native Punjabi proficiency with strong reading and writing skills.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear feedback in English.
• 3+ years of professional experience in Punjabi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.
• Strong understanding of Punjabi grammar, spelling conventions, punctuation, tone, register, dialect variation, and cultural context.
• Comfortable handling Gurmukhi and/or Shahmukhi script requirements. Candidates should clearly specify which script(s) they can read and write.
• Ability to evaluate Punjabi content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, hallucinated claims, ambiguity, or inconsistent terminology.
• Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability 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.

Key responsibilities

• Task Description: Review and quality-check existing translations of English science benchmark questions (ARC) in your target language. For each item, you’ll compare the original translation and an AI-proposed correction against the English source, focusing strictly on accuracy and faithfulness rather than stylistic improvement .
• You’ll review the question and answer choices only , select the appropriate outcome (accept the original, accept the AI correction, edit the final translation, or escalate), and provide a brief review comment. The goal is to preserve the source exactly—including its meaning, difficulty, answer structure, scientific terminology, and protected elements—while following the provided core and language-specific guidelines.

Company: SuperAnnotate AI, Inc