Medical Specialist

OverviewInnodata (NASDAQ: INOD) is a leading data engineering company.
With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider for technology, financial services, insurance, law, and medicine.
By combining machine learning and artificial intelligence technologies with a global workforce and high-security infrastructure, we help advance AI.
Innodata offers digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain)Location: RemoteEmployment Type: Flexible Contract Role (Part-time, up to 25 hours weekly)About The RoleWe 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 help shape how AI understands and communicates complex biomedical knowledge, with a focus on microbiological sciences.
This role involves evaluating AI-generated responses for scientific accuracy, contextual integrity, and clinical relevance within medical microbiology.
Your feedback and annotations will inform improvements to AI systems used in healthcare education, diagnostics, public health communication, and biomedical research.Key ResponsibilitiesCritically assess AI-generated responses on 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 that assess the model\'s reasoning and adaptability to professional contexts (e.g., interpreting culture reports, recommending diagnostic tests, understanding resistance profiles).
Required QualificationsMaster\'s or PhD in Medical Microbiology, Immunology, or 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: ******DetailsSeniority level: InternshipEmployment type: ContractJob function: Health Care ProviderIndustries: Business Consulting and ServicesReferrals increase your chances of interviewing at Innodata Inc. by 2x.
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