Medical Specialist

Innodata Inc.; Marechal Deodoro; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading tech company is looking for a Generative AI Associate Analyst to evaluate AI-generated biomedical information, particularly in microbiological sciences. This part-time role requires a Master's or PhD in Medical Microbiology and involves annotating model outputs for scientific accuracy. Applicants should possess strong communication skills and familiarity with clinical diagnostics. If interested, please share your updated resume.

Qualificações

• Master's or PhD in Medical Microbiology, Immunology, or closely related biomedical discipline.
• Demonstrated expertise in microbial pathogenesis, clinical diagnostics, and laboratory procedures.
• Excellent written communication skills and fluency in English.

Responsabilidades

• Critically assess AI-generated responses for accuracy and relevance in medical microbiology.
• Apply structured annotation to model outputs for correctness and terminology.
• Create clinical scenarios to test model reasoning in professional contexts.

Conhecimentos

Microbial pathogenesis

Clinical diagnostics

Excellent written communication

Fluency in English

Formação académica

Master's or PhD in Medical Microbiology

Degree in Immunology or related biomedical discipline

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 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: ******