Technical SME & AI Engineer — Quant/Science/Corporate

LILT (Production); United States; Remote; USD 90,000 - 130,000; Part time

Job summary

LILT (Production) seeks an experienced Technical SME/AI Engineer for a cutting-edge AI benchmarking project. You will design scenarios in Arabic or English, refine evaluation rubrics, and verify AI outputs within sandboxed environments, leveraging deep domain knowledge across media contexts.

The role emphasizes editorial excellence, factual accuracy, and cultural appropriateness, with opportunities to contribute to gold-standard solutions across GCC journalism, broadcasting, and content

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.

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

Media experience

Job description

LILT (Production) seeks an experienced Technical SME/AI Engineer for a cutting-edge AI benchmarking project. You will design scenarios in Arabic or English, refine evaluation rubrics, and verify AI outputs within sandboxed environments, leveraging deep domain knowledge across media contexts.

The role emphasizes editorial excellence, factual accuracy, and cultural appropriateness, with opportunities to contribute to gold-standard solutions across GCC journalism, broadcasting, and content