Hindi Linguistic Experts

What You'll Do7

• Review model-generated Hindi text for accuracy and natural phrasing across translation, summarization, dialogue, and grammar correction tasks.
• Rewrite or edit Hindi passages so they meet native linguistic and cultural standards.
• Tag Hindi text with grammatical, syntactic, and semantic annotations.
• Log recurring model errors and language gaps, then relay them to AI researchers.
• Write detailed feedback reports that guide the next round of model training.
• Check regional variations and contextual usage to flag output that reads as unnatural to native speakers.
• Work with distributed research teams to align on annotation guidelines and quality benchmarks.

Requirements6

• Native or near-native Hindi fluency with firm command of grammar, syntax, and stylistics.
• Professional background in translation, editing, linguistic annotation, or NLP data work in Hindi.
• Keen sense of linguistic nuance, regional variation, and context-appropriate usage.
• Sharp eye for subtle errors and phrasing that sounds unnatural to a native speaker.
• Clear written communication and comfort working with remote, distributed teams.
• Interest in AI and language technology, though prior LLM experience is not mandatory.

Who Should Apply

Hindi translators, editors, and linguistic annotators who already work with language data and want to apply that craft to model evaluation. Candidates should bring native fluency plus a track record in translation, editing, or annotation.

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