Remote Math SME for AI Benchmarking (Japanese)

LILT (Production)

United States

A distancia

USD 83.000 - 165.000

A tiempo parcial

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Flexible scheduling
Remote collaboration
Competitive rates

Descripción de la vacante

LILT is seeking experienced mathematics professionals to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality mathematical scenarios that test AI systems in locale-specific contexts.

You will develop domain tasks, apply clear scoring rubrics, review submissions for accuracy and regulatory alignment, and provide expert feedback to help craft gold-standard solutions.

Formación

  • Native in the target language with strong professional English proficiency.
  • 5+ years of experience in Mathematics (e.g. applied mathematics, probability and statistics, computational mathematics and physics).
  • Strong knowledge of target local frameworks.
  • Ability to write and evaluate professional-grade mathematics content in the target language with high attention to detail.

Responsabilidades

  • Create realistic, domain-specific tasks in target language reflecting local mathematics practices.
  • Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses.
  • Review and score submissions for accuracy, regulatory alignment, and professional quality.
  • Provide expert feedback and contribute to high-quality “gold standard” solutions.

Conocimientos

Native in target language
English proficiency
Mathematics experience
Local frameworks
Mathematics content writing

Descripción del empleo

LILT is seeking experienced mathematics professionals to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality mathematical scenarios that test AI systems in locale-specific contexts.

You will develop domain tasks, apply clear scoring rubrics, review submissions for accuracy and regulatory alignment, and provide expert feedback to help craft gold-standard solutions.

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