Medical Specialist

Innodata Inc.; Campo Grande; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading tech company is seeking a Generative AI Associate Analyst to work remotely on a part-time basis, focusing on training AI systems in the medical domain. Candidates should have a Master’s or PhD in Medical Microbiology and expertise in related fields. Responsibilities include assessing AI outputs and conducting structured annotations. The role involves designing clinical scenarios to enhance AI application in healthcare settings.

Qualificações

• Master’s or PhD in Medical Microbiology or related biomedical discipline is required.
• Demonstrated expertise in clinical diagnostics and microbial pathogenesis.
• Familiarity with laboratory microbiological procedures and instrumentation.

Responsabilidades

• Critically assess AI-generated responses in microbiology topics.
• Apply structured annotation for scientific correctness.
• Create clinical scenarios to test AI model reasoning.

Conhecimentos

Expertise in microbial pathogenesis

Fluency in English

Excellent written communication skills

Formação académica

Master’s or PhD in Medical Microbiology

PhD in Immunology

Descrição da oferta de emprego

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. Your feedback and annotations will inform the improvement of AI systems used in healthcare education, diagnostic 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.