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Lilt

AI-powered multilingual translation platform for enterprises

Subject Matter Expert - Multiple Teams

Real EstateConfirmed live in the last 24 hours
ContractNo salary listed

About the Job

Requirements

  • Native Urdu proficiency and strong professional English proficiency.
  • At least 5 years of professional experience in real estate, property management, leasing, hospitality services, or community operations.
  • Background in one or more relevant areas: property or community association management, real estate brokerage, real estate sales, leasing operations, concierge and guest services, rental services, tenant relations, or facilities coordination.
  • Strong understanding of customer service workflows, leasing and sales operations, property management practices, and Indian real estate environments.
  • Reliable availability and commitment to on-time delivery after accepting tasks; most tasks require at least 2 hours per day or 10 hours per week.

Responsibilities

  • Design realistic real estate and leasing scenarios in Urdu or English grounded in Indian operational contexts, including property leasing, tenant communication, concierge services, facility coordination, sales negotiations, community management, and rental operations.
  • Adapt structured evaluation rubrics for customer interaction, operational problem-solving, leasing workflows, and sales support tasks.
  • Review AI- and human-generated responses for factual accuracy, service quality, policy compliance, and operational realism.
  • Contribute gold-standard solutions reflecting industry best practices across Indian real estate, leasing, and property operations.

About the Company

Lilt

AI-powered multilingual translation platform for enterprises

Lilt provides an AI-powered translation platform for enterprises to manage multilingual content. It uses a Contextual AI Engine with a human-in-the-loop: AI translations are reviewed by professional linguists, and feedback helps the model improve. It supports 70+ languages and formats and integrates with 100+ enterprise systems, sold as a subscription SaaS (plus direct translation services). Its goal is to speed up high-volume translation while ensuring accuracy and consistency across global content.

Company size
501-1,000
Company stage
Series C
Total funding
$95.6M
Headquarters
San Francisco, CA
Founded
2015

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