Vietnamese Language Expert

Job Title: Vietnamese Language Expert

Job Type: Part-Time

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Annotate and label Vietnamese language data with high accuracy and consistency.
• Review, edit, and validate annotated datasets to ensure quality standards are met.
• Provide linguistic and cultural insights to support accurate data interpretation.
• Collaborate with cross-functional teams to clarify project requirements and resolve language-related issues.
• Identify linguistic nuances, ambiguities, and potential challenges within Vietnamese data.
• Maintain up-to-date documentation of annotation guidelines and best practices.
• Communicate findings, feedback, and recommendations clearly in both written and verbal formats.
• Participate in remote meetings to share expertise and support ongoing language-related discussions.

Required Skills & Qualifications

• Native or near-native proficiency in Vietnamese with a strong command of grammar, vocabulary, and idiomatic usage.
• Professional-level English proficiency for communication and documentation.
• Experience in data annotation, linguistic quality assurance, translation, transcription, or related language roles.
• Strong attention to detail and commitment to accuracy and consistency.
• Excellent written and verbal communication skills with a collaborative mindset.
• Ability to work independently and manage time effectively in a remote environment.
• Familiarity with digital tools and platforms used for annotation and remote collaboration.

Preferred Qualifications

• Prior experience working on AI training, NLP, or language model–related projects.
• Educational background in linguistics, translation, language studies, or a related field.
• Ability to adapt quickly in fast-paced and evolving project environments.