Mandarin Language Expert

SME Careers

France

A distancia

EUR 28.000 - 55.000

Jornada completa

hace 8 horas
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Descripción de la vacante

SME Careers, a fast-growing AI data services company, seeks a remote hourly contractor to review AI-generated responses and generate Chinese content, ensuring accuracy, clarity, and adherence to prompts. You will apply senior-level Mandarin localization judgment with English proficiency to align terminology and tone, fact-check content, and provide expert feedback.

Candidates should have 5+ years localization experience and familiarity with MQM/LQA concepts, CAT tools, and QA workflows; prior AI

Formación

  • Bachelor-level or higher in Translation, Linguistics or related field.
  • Native or near-native Chinese (Mandarin) with strong China locale knowledge.
  • Minimum C1 English proficiency for prompts and evaluation guidelines.

Responsabilidades

  • Review AI-generated responses and generate Chinese content.
  • Evaluate reasoning quality, provide expert feedback and model solutions.
  • Rate and compare AI responses for accuracy, logic, and clarity.

Conocimientos

Translation
Localization
English proficiency
Editorial judgment
Fact-checking
CAT tools

Educación

Bachelor's degree or higher

Herramientas

CAT tools
QA workflows

Descripción del empleo

In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Chinese (Mandarin) localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Key Responsibilities
  • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
  • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
  • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Your Profile
  • Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
  • Native or near-native Chinese (Mandarin) proficiency and strong command of the locale conventions for China.
  • Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
  • 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
  • Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
  • Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
  • Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
  • Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
  • Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
  • Previous experience with AI data training / annotation / evaluation is preferred.
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