AI Quality Team Lead (Kannada, Mathematics)

As a Kannada AI Quality Team Lead, you will help keep Kannada AI training work accurate and consistent. You will review AI-generated Kannada content, trainer work, and quality assurance work against project guidelines and detailed rubrics.

You will identify serious or repeated issues, explain them clearly, and help trainers and reviewers resolve difficult language questions. The work covers Kannada wording, register, translation accuracy, cultural context, regional variation, formatting, and instruction-following.

• Spot-check Kannada content and trainer or reviewer work for quality and consistency.
• Evaluate fluency, meaning, tone, cultural appropriateness, formatting, and instruction-following.
• Find problems such as mistranslation, unnatural wording, ambiguity, unsupported claims, and inconsistent terms.
• Write precise feedback and explain recurring or critical quality issues.
• Create and maintain style guides, FAQs, trackers, quality notes, examples, and onboarding materials.
• Support training and onboarding for contributors and help apply changing project standards consistently.
• Recommend workflow improvements for Kannada-language quality assurance.

This is a remote contractor role open to candidates in India, Malaysia, Saudi Arabia, the United States, and the United Arab Emirates. The work requires strong Kannada language knowledge, English communication skills, and a mathematics background.

• Pay: $30 per hour.
• Time: 20+ hours per week.
• Location: Remote; open to candidates in India, Malaysia, Saudi Arabia, the United States, and the United Arab Emirates.
• Education: A bachelor's or master's degree in Mathematics is required.
• Language: Professional fluency in Kannada, with strong reading and writing skills, plus strong English communication skills.
• Experience: At least three years in Kannada writing, editing, translation, localization, content quality assurance, education, annotation, or related language-review work.
• Knowledge: Kannada grammar, spelling, punctuation, tone, register, regional variation, and cultural context.
• Skills: Evaluate content against detailed rubrics and recognize language, meaning, terminology, and unsupported-claim issues.
• Helpful background: Supporting or leading remote teams of trainers, annotators, reviewers, editors, or quality contributors.
• Helpful background: Familiarity with AI training, data annotation, large language models, prompt and response evaluation, or rubric-based language quality assurance.
• Tools: Comfort with Discord, Google Sheets, and Google Docs is helpful.

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

AI training is the human work behind systems that generate and understand text. Contributors review examples, rate model responses, check translations, and provide feedback so AI systems produce more accurate and useful results; experienced language reviewers help maintain clear standards for specialized projects.