Spot-check Hindi items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.

Update trainers and QAs on Discord about guidelines, project changes, workflow updates, and quality expectations.

Respond to questions around Hindi grammar, Devanagari, register, translation fidelity, Hinglish/code-switching, terminology, and cultural context.

DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.

Create and maintain Hindi documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.

Run onboarding/training calls to explain workflows, rubrics, quality standards, and Hindi-specific requirements.

Ensure Hindi language guidelines are applied consistently.

Identify recurring quality gaps and improve QA processes.

Bachelor’s or Master’s degree in Hindi, Linguistics, Translation, Communications, Journalism, English, Education, Quality Assurance, or a relevant domain/related field.

Native or near-native Hindi 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 Hindi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review workflows.

Strong understanding of Hindi grammar, Devanagari script, spelling conventions, punctuation, tone, register, formal vs conversational Hindi, and India-specific cultural context.

Ability to evaluate Hindi content against detailed rubrics and identify issues such as mistranslation, literal phrasing, unnatural tone, incorrect gender/verb agreement, hallucinated claims, ambiguity, or inconsistent terminology.

Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs is strongly preferred.

Comfortable with 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 documentation.

Experience with AI training, data annotation, LLM evaluation, prompt/response evaluation, or rubric-based LLM QA is a strong plus.