AI Training Specialist - Vietnamese Language Annotation

Location

Delafield

Job Type

FULL_TIME

Experience

Skilled work

Job Description

Job Summary

Global MNC Tech is seeking a highly motivated and detail-oriented AI Training Specialist – Vietnamese Language Annotation to join our growing Artificial Intelligence team. In this role, you will play a critical part in training and improving AI models by providing high-quality Vietnamese language data, annotations, and linguistic insights.

You will work on cutting-edge AI and machine learning projects, ensuring that language models accurately understand, interpret, and generate Vietnamese content. This position is ideal for language professionals who are passionate about technology, linguistics, and the future of AI-driven systems.


Key Responsibilities

  • Annotate, label, and validate Vietnamese language data for AI and machine learning models.

  • Review and correct AI-generated Vietnamese text for accuracy, grammar, tone, and cultural relevance.

  • Classify text, audio, or conversational data based on predefined guidelines.

  • Ensure high-quality linguistic outputs by following annotation standards and quality metrics.

  • Collaborate with AI engineers, data scientists, and project managers to improve model performance.

  • Provide linguistic feedback and insights to refine training datasets.

  • Participate in quality audits and contribute to continuous improvement processes.

  • Meet productivity and accuracy targets within assigned timelines.


Required Skills and Qualifications

  • Native or near-native proficiency in Vietnamese (written and spoken).

  • Strong command of English for communication and documentation.

  • Excellent understanding of Vietnamese grammar, syntax, and semantics.

  • High attention to detail and strong analytical skills.

  • Ability to follow detailed annotation guidelines and workflows.

  • Basic computer literacy and comfort working with online tools and platforms.

  • Strong time management and organizational skills.


Experience

  • 0–3 years of experience in language annotation, translation, localization, content moderation, or linguistic analysis (preferred but not mandatory).

  • Experience in AI training, NLP projects, or data labeling is a plus.

  • Fresh graduates with strong language skills are encouraged to apply.


Working Hours

  • Flexible working hours (Remote/Hybrid depending on location).

  • Typically 40 hours per week.

  • May require working across different time zones based on project needs.


Knowledge, Skills, and Abilities

  • Knowledge of Natural Language Processing (NLP) concepts is an advantage.

  • Ability to understand AI model behavior and adapt annotations accordingly.

  • Cultural awareness of Vietnamese language usage and regional variations.

  • Strong problem-solving skills and adaptability in a fast-paced environment.

  • Ability to work independently as well as collaboratively in a global team.

  • Commitment to maintaining data confidentiality and ethical standards.


Benefits

  • Competitive salary and performance-based incentives.

  • Opportunity to work on global AI and technology projects.

  • Flexible remote work environment.

  • Professional development and learning opportunities in AI and data science.

  • Exposure to international teams and multicultural work culture.

  • Career growth in one of the fastest-growing technology domains.


Why Join Global MNC Tech?

At Global MNC Tech, you will be part of a forward-thinking organization that is shaping the future of artificial intelligence. We value innovation, diversity, and continuous learning. This role offers a unique opportunity to combine your language expertise with advanced technology, making a real impact on AI systems used worldwide.


How to Apply

Interested candidates should submit their updated CV/resume along with a brief cover letter highlighting their Vietnamese language proficiency and interest in AI training.

Qualified applicants will be contacted for an online assessment and interview process.

Additional Details

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