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Lilt

AI-powered multilingual translation platform for enterprises

Subject Matter Expert - Healthcare & Social Assistance, Portuguese BR

Clinical Support & Patient AdministrationConfirmed live in the last 24 hours
ContractNo salary listedRemote

About the Job

Requirements

  • Native proficiency in Portuguese and strong professional English proficiency.
  • At least 5 years of professional experience in healthcare or social assistance sectors.
  • Background in one or more relevant roles: Registered Nurse, Nurse Practitioner, Medical/Health Services Manager, Medical Secretary, or Administrative Supervisor in healthcare settings.
  • Strong understanding of clinical workflows, healthcare administration, and patient care standards.
  • Ability to evaluate accuracy, safety implications, and operational realism in healthcare-related content.
  • Reliable availability and commitment to delivering accepted tasks on time; most tasks require a minimum of 2 hours per day or 10 hours per week.
  • Applicants must reside outside regions subject to international embargoes or sanctions.

Responsibilities

  • Design realistic healthcare and social assistance scenarios in Portuguese reflecting local clinical and administrative settings, including patient intake, care coordination, hospital operations, and nursing workflows.
  • Develop structured evaluation rubrics for assessing clinical reasoning, administrative accuracy, and patient safety considerations.
  • Review and score AI- and human-generated responses for medical correctness, operational feasibility, and communication quality.
  • Contribute gold-standard answers aligned with healthcare delivery best practices and patient safety.
  • Ensure cultural and contextual appropriateness in Portuguese-language healthcare environments, including hospital workflows and regulatory expectations.

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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