AI Benchmark SME - Professional Services

LILT AI; Ciudad de México; Remote; MXN 642.000 - 1.542.000; Vollzeit

Zusammenfassung

LILT is seeking experienced professionals for an independent contractor role to support a cutting-edge AI benchmarking project focused on corporate, legal, financial, and technology environments. You will design and review realistic scenarios and contribute to gold-standard solutions across consulting, technology, and enterprise operations.

Responsibilities include creating bilingual scenarios, adapting evaluation rubrics, and ensuring high-quality, accurate outputs in line with industry

Qualifikationen

• Native-level Spanish (Mexico) with strong professional English proficiency
• 5+ years in Professional Services, Technology, Legal Services, Accounting, Audit, Consulting, or Project Management
• Experience in one or more relevant roles such as Accounting & Auditing, IT/Information Systems, Legal Practice, or Software Development

Aufgaben

• Design realistic Professional and Technical Services scenarios in Spanish or English grounded in operational contexts
• Adapt structured evaluation rubrics for analytical reasoning, technical problem-solving, and professional decision-making tasks
• Review AI and human-generated responses for factual accuracy, professional standards, technical quality, and operational realism
• Contribute to gold-standard solutions reflecting best practices across professional services, legal operations, accounting, project management, and technology environments

Kenntnisse

Spanish (Mexico) language proficiency

English proficiency

Professional services / consulting /项目

Jobbeschreibung

LILT is seeking experienced professionals for an independent contractor role to support a cutting-edge AI benchmarking project focused on corporate, legal, financial, and technology environments. You will design and review realistic scenarios and contribute to gold-standard solutions across consulting, technology, and enterprise operations.

Responsibilities include creating bilingual scenarios, adapting evaluation rubrics, and ensuring high-quality, accurate outputs in line with industry