Remote MSL: AI-Driven Medical Content Review

Alignerr Corp.

Cambridge

Remoto

GBP 55.000 - 124.000

Tempo pieno

28 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Fully remote
Flexible hours
Contract-based freelance work
Global collaboration

Descrizione del lavoro

Alignerr Corp. is seeking experienced Medical Science Liaisons and clinical science professionals to validate, evaluate, and improve AI-generated medical content.

This is a flexible, fully remote hourly contract with 10–40 hours per week, designed for professionals who want to contribute to cutting-edge AI projects on their own schedule. You will review AI outputs for scientific accuracy, interpret clinical data and regulatory materials, and provide structured feedback to enhance model quality.

Competenze

  • Background in medical affairs or clinical research with healthcare professional engagement
  • Ability to interpret clinical data and regulatory documents
  • Experience in external-facing medical roles and asynchronous feedback

Mansioni

  • Review and evaluate AI-generated clinical and biomedical content for accuracy and appropriateness
  • Apply expertise to interpret clinical trial data and regulatory materials
  • Validate scientific narratives and ensure medical content meets healthcare professional standards
  • Identify gaps or misinformation in AI-generated medical communications
  • Provide structured expert feedback to improve AI model outputs
  • Support the development of high-quality scientific datasets for training/evaluation

Conoscenze

Medical affairs
Clinical evaluation
Regulatory interpretation
Evidence interpretation

Formazione

Medical degree (MD/DO) or equivalent

Strumenti

Data annotation tools
AI quality review tools

Descrizione del lavoro

Alignerr Corp. is seeking experienced Medical Science Liaisons and clinical science professionals to validate, evaluate, and improve AI-generated medical content.

This is a flexible, fully remote hourly contract with 10–40 hours per week, designed for professionals who want to contribute to cutting-edge AI projects on their own schedule. You will review AI outputs for scientific accuracy, interpret clinical data and regulatory materials, and provide structured feedback to enhance model quality.

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