LLM Annotator – Vietnamese · Turing Turing · Varies · remote · ago Varies ago
Moreno Valley, Riverside County, California, 92551, USA
Listed on 2026-10-09
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IT/Tech
AI Evaluation, Data Annotation/ AI Labeling
LLM Annotator (Vietnamese) | Contractor | Worldwide Remote
Turing is looking for a skilled LLM Annotator with native or professional-level Vietnamese proficiency to support the development and evaluation of cutting-edge AI systems. This fully remote, flexible role is ideal for analytical professionals who enjoy working with large language models, crafting high-quality prompts, and improving AI performance through structured evaluation.
About TuringBased in San Francisco, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI. Turing helps accelerate frontier research with high-quality data, advanced training pipelines, and top AI researchers specializing in coding, reasoning, STEM, multilinguality, and more.
Required Language- Native or professional-level proficiency in Vietnamese
- Master's degree or higher in any field
- Minimum 2 years of professional experience
- Native or professional-level Vietnamese proficiency
- Strong English communication and comprehension skills
- Strong analytical and critical-thinking abilities
- Excellent attention to detail
- Large Language Models (LLMs)
- Prompt Engineering
- AI Training or Evaluation
- RLHF / Human Feedback
- Data Annotation
- Generative AI
- Content Quality or Model Evaluation
- Develop clear, accurate, and high-quality prompts for LLM-based systems
- Create prompts that test AI models across information retrieval, reasoning, calculations, and instruction following
- Evaluate AI-generated responses against defined quality criteria
- Identify errors, inconsistencies, and opportunities to improve model performance
- Work with business documents, structured data, and other source materials to develop realistic AI evaluation tasks
- Follow detailed project guidelines while maintaining high standards of accuracy and consistency
- Background in film studies, cinematography, or media production
- Prior experience with data annotation or labeling projects
- Familiarity with different content genres (drama, documentary, gaming, podcast/lifestyle)
- Work on cutting-edge AI projects with a global leader in AI research
- Competitive compensation
- Flexible working hours in a fully remote environment
Shortlisted candidates will be invited to complete an assessment. Upon successfully clearing the assessment, candidates may begin working immediately.
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