Medical Specialist

Innodata Inc.; São Paulo; Teletrabalho; BRL 55 800 - 78 120; Tempo parcial

Resumo da oferta

A leading tech consulting firm is seeking a Generative AI Associate Analyst to evaluate AI in the medical microbiology domain. The ideal candidate holds a Master's or PhD and has expertise in microbiological sciences. You will assess AI-generated medical responses, contributing to healthcare education and diagnostics. This part-time position is remote, offering flexibility within a part-time schedule of up to 25 hours weekly.

Qualificações

• Master's or PhD in Medical Microbiology, Immunology, or a related discipline.
• Demonstrated expertise in microbial pathogenesis, virology, and bacteriology.
• Excellent written communication skills.

Responsabilidades

• Assess AI-generated responses for scientific accuracy.
• Categorize model outputs using domain-specific taxonomies.
• Create clinical scenarios to assess model reasoning.

Conhecimentos

Expertise in microbial pathogenesis

Clinical diagnostics

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 (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.

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 labelling 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 & non-billable*

If interested, kindly share your updated resume at : [e-mail]

Seniority level

• Associate

Employment type

• Part-time

Job function

• Health Care Provider, Research, and Education

Industries

• IT Services and IT Consulting