Technical SME & AI Engineer - Quant/Science/Corporate

LILT

United States

Remote

USD 85,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Flexible schedule
Independent contractor
Competitive rates
Global projects
Portfolio growth
Impactful work

Job summary

LILT in the United States is seeking an experienced Technical SME/AI Engineer to support a cutting-edge benchmarking project. You will apply native Arabic (MSA) and professional English to design realistic scenarios, refine evaluation rubrics, and verify AI and human responses within a sandboxed environment.

Laid out responsibilities include reviewing outputs for factual accuracy and cultural appropriateness, plus contributing to gold-standard solutions across GCC journalism, broadcasting, and

Qualifications

  • Native-level Arabic (MSA) with strong professional English proficiency.
  • 5+ years of professional experience in Media, Broadcasting, Journalism, Content Production, Publishing, or Audiovisual Operations.
  • Background in one or more relevant roles: Audio/Video Production, Editing, Film & Video Editing, Journalism, News Reporting, Content Production, Directing, Broadcast Operations, or Media Management.
  • Strong understanding of editorial workflows, production processes, media standards, audience communication, and GCC media environments.

Responsibilities

  • Design realistic scenarios in your target language or English grounded in operational contexts.
  • Adapt structured evaluation rubrics.
  • Review AI and human-generated responses for factual accuracy, editorial quality, cultural appropriateness, and operational realism.
  • Contribute to “gold standard” solutions reflecting best practices across GCC journalism, broadcasting, digital media, and content production environments.

Skills

Arabic (MSA)
English proficiency

Job description

LILT in the United States is seeking an experienced Technical SME/AI Engineer to support a cutting-edge benchmarking project. You will apply native Arabic (MSA) and professional English to design realistic scenarios, refine evaluation rubrics, and verify AI and human responses within a sandboxed environment.

Laid out responsibilities include reviewing outputs for factual accuracy and cultural appropriateness, plus contributing to gold-standard solutions across GCC journalism, broadcasting, and

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