Robotics SME - AI Benchmarking Tasks (Remote)

LILT

United States

Remote

USD 90,000 - 140,000

Part time

14 days+
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Benefits offered by this job

Flexible schedule
Competitive rates
Prompt payments
Global community
Portfolio growth
Meaningful work

Job summary

LILT is seeking experienced robotics professionals to contribute to an AI benchmarking project as a Subject Matter Expert. You will create and review high-quality natural sciences scenarios in the target language, aligned with regulatory and professional standards.

As an independent contractor, you can set your schedule and work location. You will craft domain-specific tasks, apply scoring rubrics, review submissions, and provide expert feedback to build gold-standard solutions while

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

Target language native
Robotics experience
English proficiency
Attention to detail
Regulatory knowledge

Job description

LILT is seeking experienced robotics professionals to contribute to an AI benchmarking project as a Subject Matter Expert. You will create and review high-quality natural sciences scenarios in the target language, aligned with regulatory and professional standards.

As an independent contractor, you can set your schedule and work location. You will craft domain-specific tasks, apply scoring rubrics, review submissions, and provide expert feedback to build gold-standard solutions while

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