Medical Specialist

4 semanas atrás

São José dos Campos, Brasil Innodata Inc. Tempo inteiro

Overview

Innodata (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-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both 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: 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.

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.
  • English language assessment is mandatory and non-billable.

*If interested, kindly share your updated resume at: (redacted)

Seniority level
  • Internship
Employment type
  • Contract
Job function
  • Health Care Provider
  • Business Consulting and Services

Referrals increase your chances of interviewing at Innodata Inc. by 2x

Note: 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

  • Medical Specialist

    Há 2 dias

    São José dos Campos, Brasil Innodata Inc. Tempo inteiro

    Join to apply for the Medical Specialist role at Innodata Inc. Overview Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain)Location: RemoteEmployment Type: Flexible Contract Role (Part-time, up to 25 hours weekly) We are seeking highly qualified professionals with a Master’s or Ph.D. in Medical Microbiology to support the...

  • Medical Specialist

    4 semanas atrás

    São José dos Campos, Brasil Innodata Inc. Tempo inteiro

    Overview Join to apply for the Medical Specialist role at Innodata Inc. Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain)Location: RemoteEmployment Type: Flexible Contract Role (Part-time, up to 25 hours weekly) Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13...

  • Medical Specialist

    Há 6 dias

    São José dos Campos, São Paulo, Brasil Innodata Inc. Tempo inteiro

    OverviewJob 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 (Master's or PhD) in Medical Microbiology to support the development of state-of-the-art Large Language Models (LLMs).As...

  • Medical Specialist

    4 semanas atrás

    São José dos Campos, Brasil Innodata Inc. Tempo inteiro

    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) Company: Innodata Inc. (NASDAQ: INOD) Innodata is a leading data engineering company offering digital data solutions and high-quality platforms, with a global workforce and...

  • Pharmacist - Medical Information Specialist

    2 semanas atrás

    São Paulo, Brasil Med Communications International Tempo inteiro

    **Pharmacist / Medical Information Specialist - (English)** **Brazil (Remote)** Must have for this role: Degree: MPharm - PharmD or Pharmaceutical Sciences Experience: At least 1 to 2 years as a Pharmacist Fluent: C1 or C2 - English Language skills **It's about**: "Unlocking Your Potential!"** "Transition from the Community Pharmacy to a Rewarding Career as...

  • Medical Specialist

    4 semanas atrás

    São Luís, Brasil Innodata Inc. Tempo inteiro

    Overview Join to apply for the Medical Specialist role at Innodata Inc. Job Title: Generative AI Associate Analyst (LLM Training – Medical Domain) Location: RemoteEmployment Type: Flexible Contract Role (Part-time, up to 25 hours weekly) Innodata (NASDAQ: INOD) is a leading data engineering company. We serve more than 2,000 customers with operations in...

  • Medical Specialist

    4 semanas atrás

    São Paulo, Brasil Innodata Inc. Tempo inteiro

    Overview Join to apply for the Medical Specialist role at Innodata Inc. Innodata (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-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies...

  • Clinical Nurse Specialist

    Há 6 dias

    São José dos Campos, Brasil Mercor Tempo inteiro

    Get AI-powered advice on this job and more exclusive features.This range is provided by Mercor.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$*****/hr - $*****/hrCompany IntroductionMercor connects elite creative and technical talent with leading AI research labs.Headquartered in San...

  • Psychology Specialist

    4 semanas atrás

    São José dos Campos, Brasil Innodata Inc. Tempo inteiro

    Overview Psychology Specialist role at Innodata Inc. This is a freelance opportunity supporting the development and training of AI models in healthcare and psychology. Applicants should have a Master’s or PhD in Psychology, Health Sciences, Public Health, or related fields. Key Responsibilities Develop, review, and validate high-quality content related to...

  • Medical Specialist

    Há 2 dias

    São Luís, Brasil Innodata Inc. Tempo inteiro

    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)....