Remote Vietnamese NLP Linguist for AI Research

Mercor; United States; Remote; USD 34,000 - 49,000; Full time

Job summary

Mercor is seeking experienced Vietnamese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Vietnamese-language tasks and on curating high-quality Vietnamese linguistic data to train and improve the model's understanding and generation capabilities.

As part of a distributed, remote team, you will annotate, edit, and assess Vietnamese text across

Qualifications

• Native or near-native Vietnamese with strong grammar and stylistics.
• Professional experience in translation, editing, linguistic annotation, or NLP data work in Vietnamese.
• Strong understanding of linguistic nuances, regional variations, and context-appropriate usage.

Responsibilities

• Evaluate the quality and accuracy of LLM-generated Vietnamese text across use cases (e.g., translation, summarization, dialogue, grammar correction).
• Edit, refine, or rewrite Vietnamese content to meet linguistic and cultural standards.
• Annotate Vietnamese text for grammatical, syntactic, and semantic features.
• Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
• Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.

Skills

Vietnamese fluency

Editing/proofreading

Linguistic annotation

NLP data work

Remote teamwork

Job description

Mercor is seeking experienced Vietnamese Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Vietnamese-language tasks and on curating high-quality Vietnamese linguistic data to train and improve the model's understanding and generation capabilities.

As part of a distributed, remote team, you will annotate, edit, and assess Vietnamese text across