Remote Vietnamese Linguistic Specialist for AI Research

Zekai

United States

A distancia

USD 55.000 - 96.000

A tiempo parcial

Hace 12 días

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Descripción de la vacante

Zekai is seeking experienced Vietnamese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. The role focuses on evaluating how effectively a large language model handles Vietnamese-language tasks and on curating high-quality Vietnamese linguistic data to improve model understanding and generation.

You will evaluate LLM-generated Vietnamese text, edit content to meet linguistic and cultural standards, and annotate data for grammatical and

Formación

  • Native or near-native fluency in Vietnamese.
  • Experience in translation, editing, linguistic annotation, or NLP data work in Vietnamese.
  • Strong understanding of linguistic nuances and regional variations.
  • Interest in AI and LLM language tech preferred.
  • Excellent attention to detail and ability to spot errors.
  • Clear communication in distributed remote teams.

Responsabilidades

  • Evaluate the quality and accuracy of LLM-generated Vietnamese text across use cases.
  • Edit, refine, or rewrite Vietnamese content to meet linguistic standards.
  • Annotate Vietnamese text for grammatical, syntactic, and semantic features.
  • Identify model errors and collaborate with AI researchers to improve LLM performance.
  • Provide detailed linguistic feedback to guide model training efforts.

Conocimientos

Vietnamese fluency
Linguistic annotation
Editing
NLP data work

Descripción del empleo

Zekai is seeking experienced Vietnamese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. The role focuses on evaluating how effectively a large language model handles Vietnamese-language tasks and on curating high-quality Vietnamese linguistic data to improve model understanding and generation.

You will evaluate LLM-generated Vietnamese text, edit content to meet linguistic and cultural standards, and annotate data for grammatical and

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