Quality Assurance Lead (Hindi)

You will lead quality review for Hindi AI training projects. This includes checking AI-generated Hindi content and trainer QA submissions against project rubrics, style guides, and language standards.

You will give precise written feedback, identify recurring or critical issues, and help trainers and reviewers meet quality expectations. You will also support onboarding, documentation, workflow updates, and contributor activation.

• Review Hindi AI training outputs and trainer QA submissions for quality and consistency.
• Check accuracy, fluency, grammar, spelling, tone, cultural appropriateness, meaning, instruction-following, formatting, and rubric adherence.
• Answer questions about Hindi grammar, Devanagari, register, translation fidelity, Hinglish, terminology, and cultural context.
• Identify mistranslations, literal phrasing, unnatural tone, incorrect gender or verb agreement, unsupported claims, ambiguity, and inconsistent terminology.
• Provide written feedback, escalate recurring or critical issues, and update trainers and QAs on standards and workflow changes.
• Maintain Hindi documentation, FAQs, examples, trackers, and onboarding materials.
• Support onboarding and training discussions for remote trainers, annotators, reviewers, editors, or QAs.

This is a remote, part-time contractor role open to candidates in India. The work requires strong Hindi language expertise and English communication for guidelines and team coordination.

• Time: 20+ hours per week.
• Languages: Fluent Hindi with strong reading and writing skills; strong English communication skills.
• Experience: 3+ years in Hindi writing, editing, translation, localization, content QA, AI training, education, annotation, or related language-review work.
• Knowledge: Hindi grammar, Devanagari script, spelling, punctuation, tone, register, and India-specific cultural context.
• Leadership: Experience leading or supporting remote teams of trainers, annotators, reviewers, editors, or QAs.
• Tools: Comfort with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• AI training: Experience with data annotation, LLM evaluation, prompt-response evaluation, or rubric-based LLM QA.