Urdu Finance SME for AI Benchmarking & Scoring

LILT; United States; Remote; USD 83,000 - 152,000; Full time

Benefits offered by this job

Flexible schedule

Fast payments

Meaningful AI projects

Global linguistics community

Diverse opportunities

Fun and impact

Job summary

LILT seeks experienced Urdu-speaking Subject Matter Experts to craft and review domain-specific finance scenarios for AI benchmarking, focusing on India-specific regulatory contexts. You will write tasks, score submissions, and provide expert feedback to shape gold-standard solutions.

As an independent contractor, you can work on a flexible schedule with competitive rates, contributing to cutting-edge AI language technology projects worldwide.

Qualifications

• Native Urdu with strong professional English proficiency.
• 5+ years of experience in Finance or Financial Services (e.g., structuring, compliance, audit, risk, investment analysis).
• Strong knowledge of Indian financial products and frameworks.
• Familiarity with Indian regulatory environments (e.g., central banks, capital market authorities, tax/zakat frameworks).
• Ability to write and evaluate professional-grade financial content in Urdu with high attention to detail.

Responsibilities

• Create realistic, domain-specific tasks in Urdu reflecting Indian finance 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

Urdu language

English proficiency

Finance domain knowledge

Job description

LILT seeks experienced Urdu-speaking Subject Matter Experts to craft and review domain-specific finance scenarios for AI benchmarking, focusing on India-specific regulatory contexts. You will write tasks, score submissions, and provide expert feedback to shape gold-standard solutions.

As an independent contractor, you can work on a flexible schedule with competitive rates, contributing to cutting-edge AI language technology projects worldwide.