Vietnamese AI Training Specialist — Remote & Flexible Hours

Rise Data Labs; United Kingdom; Remote; GBP 21,000 - 34,000; Full time

Benefits offered by this job

Competitive hourly rates

Flexible working hours

Job summary

Rise Data Labs is seeking a Vietnamese Linguistic AI Training Specialist. You will annotate and label data to improve AI models, with a focus on Vietnamese language nuances. Collaborate with cross‑functional teams to ensure linguistic accuracy and high‑quality outputs across diverse projects.

This remote‑first role offers flexible hours and competitive hourly rates as you contribute to cutting‑edge AI training initiatives and expand your expertise in data curation and language technology.

Qualifications

• Fluency in Vietnamese (native level) with dialects and cultural context.
• Proficient in English for effective team communication.
• Experience in data annotation, content review, or AI training roles.
• Strong attention to detail and commitment to quality assurance.

Responsibilities

• Train and improve AI models through precise data annotation and labeling.
• Review and validate AI-generated content for linguistic accuracy and contextual relevance.
• Provide domain expertise to enhance AI model performance, focusing on Vietnamese language nuances.
• Collaborate with cross-functional teams on various AI training projects across different fields.
• Ensure high-quality data for machine learning applications by maintaining rigorous quality assurance standards.

Skills

Vietnamese fluency

English proficiency

Data annotation experience

Attention to detail

Job description

Rise Data Labs is seeking a Vietnamese Linguistic AI Training Specialist. You will annotate and label data to improve AI models, with a focus on Vietnamese language nuances. Collaborate with cross‑functional teams to ensure linguistic accuracy and high‑quality outputs across diverse projects.

This remote‑first role offers flexible hours and competitive hourly rates as you contribute to cutting‑edge AI training initiatives and expand your expertise in data curation and language technology.