Independent Robotics SME for AI Benchmarking

LILT (Production)

United States

Remote

USD 83,000 - 165,000

Full time

14 days+

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Job summary

LILT is seeking experienced robotics 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, real‑world natural sciences scenarios that evaluate AI systems in the compliant mathematical environments.

You will create realistic tasks, apply scoring rubrics, review submissions for accuracy and regulatory alignment, and provide expert feedback to develop gold‑standard solutions in a flexible

Qualifications

  • Native in the target language with strong professional English proficiency.
  • 5+ years of experience in Robotics (e.g. mechanical engineering, software development, robotics engineer, AI and Machine Learning etc.).
  • 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

Robotics experience
English proficiency
Local frameworks knowledge
Scientific writing / evaluation

Job description

LILT is seeking experienced robotics 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, real‑world natural sciences scenarios that evaluate AI systems in the compliant mathematical environments.

You will create realistic tasks, apply scoring rubrics, review submissions for accuracy and regulatory alignment, and provide expert feedback to develop gold‑standard solutions in a flexible

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