Punjabi Team Lead

SME Careers; Pakistan; Remote; PKR 689,000 - 1,378,000; Part time

Job summary

SME Careers is seeking a Punjabi Quality Assurance Lead (QAL) for an hourly remote contractor role to oversee quality across Punjabi AI training projects. You will review AI-generated Punjabi content, evaluate trainer/QA output, and provide precise written feedback.

You will collaborate with remote teams via Discord, maintain documentation, onboard new contributors, and help scale QA workflows while ensuring cultural and linguistic accuracy in Punjabi and English guidelines.

Qualifications

• 3+ years in Punjabi writing, editing, QA or related fields.
• Native or near-native Punjabi with strong English.
• Experience leading remote teams of trainers/QAs preferred.
• Familiarity with rubric-based QA in AI training is a plus.

Responsibilities

• Quality monitoring: spot-check Punjabi items and provide feedback.
• Update trainers/QAs on Discord about guidelines and changes.
• Respond to questions on Punjabi wording, script, and cultural context.
• Activate inactive contributors and track follow-ups.
• Create and maintain Punjabi project documentation, style guides, and onboarding materials.
• Schedule and run onboarding/training calls.
• Ensure Punjabi guidelines are applied consistently as projects evolve.
• Identify gaps and propose scalable QA processes.

Skills

Punjabi writing

English proficiency

QA leadership

Remote teamwork

Documentation

Rubric-based QA

Onboarding & training

Communication

Education

Bachelor's or Master's in Punjabi / Linguistics

Tools

Discord

Google Sheets

Google Docs

Trackers

Dashboards

Job description

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 worlds largest AI companies and foundation-model labs. Your Punjabi quality leadership will directly help improve the worlds 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.

Key Responsibilities

• Quality monitoring: Spot-check Punjabi items, identify quality issues, provide ongoing feedback through DMs, and escalated recurring or critical issues.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, and quality expectations.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around Punjabi wording, register, translation fidelity, cultural context, dialect variation, Gurmukhi/Shahmukhi script requirements, and edge cases.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain Punjabi project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and Punjabi-specific style/script requirements.
• Quality alignment: Ensure all trainers and QAs apply Punjabi language guidelines consistently and understand updates as projects evolve.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for Punjabi-language projects.

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.