Medical Specialist

Há 11 horas


Maceió, Brasil Innodata Inc. Tempo inteiro

Medical Specialist – Generative AI Associate Analyst (LLM Training – Medical Domain) Location: Remote. Employment Type: Flexible Contract Role (Part‑time, up to 25 hours weekly). Overview 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. 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, assessing 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. Completion of an English language assessment is required. Referrals increase your chances of interviewing at Innodata Inc. by 2x. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr


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