Remote SME – Natural Sciences (AI Benchmarking)

LILT (Production)

United States

Remote

USD 90,000 - 130,000

Full time

14 days+

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Job summary

LILT invites experienced natural sciences experts to join a cutting-edge AI benchmarking project as a Subject Matter Expert. You will create and review real-world science scenarios in the target language, shaping how AI understands compliant mathematical environments for local contexts.

As an independent contractor, you set your schedule, get paid promptly at competitive rates, and contribute to high-quality gold-standard solutions while collaborating with a global team of linguists and domain

Qualifications

  • Native in the target language with strong professional English proficiency.
  • 5+ years of experience in Natural Sciences (e.g. biology, chemistry, physics, environmental science, earth sciences, or related disciplines)
  • Strong knowledge of target local frameworks
  • Ability to write and evaluate professional-grade natural sciences content in the target language with high attention to detail

Responsibilities

  • Create realistic, domain-specific tasks in the target language reflecting local natural sciences 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

Skills

Language proficiency
Natural Sciences expertise
Regulatory knowledge
Editorial quality

Job description

LILT invites experienced natural sciences experts to join a cutting-edge AI benchmarking project as a Subject Matter Expert. You will create and review real-world science scenarios in the target language, shaping how AI understands compliant mathematical environments for local contexts.

As an independent contractor, you set your schedule, get paid promptly at competitive rates, and contribute to high-quality gold-standard solutions while collaborating with a global team of linguists and domain

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