 
						Medical Specialist
Há 4 dias
Overview Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain)Location: RemoteEmployment Type: Flexible Contract – Part time (up to 25 hours per week) About the Role We are seeking highly qualified professionals with a Master’s or PhD in Medical Microbiology (or a closely related discipline) to support the development of state‑of‑the‑art Large Language Models (LLMs). As an AI Rater/Trainer, you will evaluate AI‑generated responses for scientific accuracy and clinical relevance within medical microbiology. Your feedback will inform improvements for healthcare education, diagnostics support, public health communication, and biomedical research. Key Responsibilities Critically assess AI‑generated responses covering topics such as microbial taxonomy, infectious disease mechanisms, host–pathogen interactions, diagnostic microbiology, antimicrobial resistance, and laboratory methodologies. Apply structured annotation to texts, 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 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 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. (Part of the project, candidates must complete an English language assessment.) Additional Information This position is part-time and non‑billable. Interested candidates may submit their updated resume. #J-18808-Ljbffr
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