Quality Assurance Team Lead (Punjabi, Mathematics)

The work

You will lead quality reviews for AI training projects focused on Punjabi content. The work includes reviewing AI-generated content, trainer submissions, and QA work against project guidelines and detailed rubrics.

You will help keep reviews accurate, consistent, culturally appropriate, and well documented across remote teams.

• Assess Punjabi content for accuracy, fluency, grammar, spelling, tone, meaning, cultural fit, formatting, terminology, and instruction-following.
• Review Punjabi writing and quality submissions from trainers and QA reviewers.
• Find recurring issues, identify mistranslations, unclear wording, unsupported claims, and inconsistent terminology.
• Give clear written feedback and escalate serious quality concerns.
• Explain guideline updates and workflow changes to trainers and QA reviewers.
• Answer questions about Punjabi wording, scripts, and language requirements.
• Support onboarding and training for reviewers.
• Create and maintain style guides, FAQs, trackers, quality notes, examples, and onboarding materials.
• Help reviewers follow changing standards and recommend improvements to quality processes.

What it pays and takes

This is remote contractor work. The assignment schedule and project length will be confirmed for the specific project.

• Pay: $25 per hour.
• Workload: 20 or more hours per week.
• Location: Open to candidates in Canada, India, and Pakistan.
• Contract type: Part-time contractor work.
• Education: A bachelor's or master's degree in Mathematics is required.
• Language: Fluent Punjabi reading and writing, strong English communication, and reading and writing ability in Gurmukhi and/or Shahmukhi.
• Experience: At least three years in Punjabi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review work.
• Knowledge: Strong Punjabi grammar, spelling, punctuation, tone, register, dialect variation, and cultural context.
• Skills: Careful rubric-based evaluation, organization, attention to detail, and clear written feedback.
• Helpful background: Remote teams, documentation tools, AI training, data annotation, large language models, or rubric-based evaluation.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work is the human side of building artificial intelligence. Reviewers prepare and assess examples so AI systems can produce more accurate, useful, and appropriate results, while people with strong language or subject expertise help set reliable quality standards.