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Medical Specialist

buscojobs Brasil

Amapá

Teletrabalho

BRL 80.000 - 120.000

Tempo parcial

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A leading AI training company is seeking a Generative AI Associate Analyst to evaluate AI-generated responses in the medical microbiology domain. The ideal candidate will have a Master's or PhD and expertise in microbial pathogenesis. This part-time role involves critical assessments and structured annotation for AI models. Interested candidates should submit their resume to the provided email.

Qualificações

  • Demonstrated expertise in virology, bacteriology, parasitology, and immunology.
  • Familiarity with laboratory procedures and microbiological instrumentation.
  • Ability to interpret diagnostic test results such as blood cultures and PCR.

Responsabilidades

  • Critically assess AI-generated responses in microbiological topics.
  • Apply structured annotation to ensure scientific correctness.
  • Create realistic laboratory scenarios to test model reasoning.

Conhecimentos

Expertise in microbial pathogenesis
Clinical diagnostics
Excellent written communication skills
Fluency in English

Formação académica

Master’s or PhD in Medical Microbiology
Descrição da oferta de emprego
Overview

Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain)

Location: Remote

Employment Type: Flexible Contract Role (Part-time, up to 25 hours weekly)

About the Role: We are seeking highly qualified professionals with a Master’s or PhD in Medical Microbiology to support the development of state-of-the-art Large Language Models (LLMs). As a Rater / AI Trainer, you will play a critical role in shaping how AI understands and communicates complex biomedical knowledge, with a specific focus on microbiological sciences.

This role involves evaluating AI-generated responses for scientific accuracy, contextual integrity, and clinical relevance within the field of medical microbiology. Your feedback and annotations will inform the improvement of AI systems used in healthcare education, diagnostics support, public health communication, and biomedical research.

Key Responsibilities
  • Critically assess AI-generated responses in topics including microbial taxonomy, infectious disease mechanisms, host–pathogen interactions, diagnostic microbiology, antimicrobial resistance, and laboratory methodologies.
  • Apply structured annotation to texts, including labeling for scientific correctness, terminology accuracy, logical structure, and clinical relevance.
  • Categorize model outputs using domain-specific taxonomies (e.g., pathogen type, disease process, diagnostic method).
  • Create real-world clinical or laboratory scenarios with researchers to design and test prompts to assess the model’s reasoning and adaptability to professional contexts (e.g., interpreting culture reports, recommending diagnostic tests, understanding resistance profiles).
Required Qualifications
  • Master’s or PhD in Medical Microbiology, Immunology, or a closely related biomedical discipline.
  • Demonstrated expertise in core areas such as microbial pathogenesis, clinical diagnostics, virology, bacteriology, parasitology, and immunology.
  • Familiarity with laboratory procedures, microbiological instrumentation, and interpretation of diagnostic test results (e.g., blood cultures, PCR, AST).
  • Excellent written communication skills and fluency in English.

As part of the project, you are required to complete the English language assessment. The assessment is mandatory and non-billable.

If interested, kindly share your updated resume at: tsingh3@innodata.com

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