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LLM Annotator – Vietnamese at Turing

posted 1 hour ago
turing.com Contractor remote Varies 29 views

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 Turing

Based 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

Mandatory Requirements

  • 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

Preferred Experience

  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI Training or Evaluation
  • RLHF / Human Feedback
  • Data Annotation
  • Generative AI
  • Content Quality or Model Evaluation

Responsibilities

  • 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

Nice to Have

  • 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)

Benefits

  • Work on cutting-edge AI projects with a global leader in AI research
  • Competitive compensation
  • Flexible working hours in a fully remote environment

Application Process

Shortlisted candidates will be invited to complete an assessment. Upon successfully clearing the assessment, candidates may begin working immediately.

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