
Medical Specialist
Há 4 dias
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 TitleGenerative AI Associate Analyst (LLM Training – Medical Domain)
LocationRemote
Employment TypeFlexible 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 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 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 to assess the model's reasoning and adaptability to professional contexts (e.g., interpreting culture reports, recommending diagnostic tests, understanding resistance profiles).
- 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 and non-billable.
- If interested, kindly share your updated resume.
- Seniority level: Internship
- Employment type: Contract
- Job function: Health Care Provider
- Industries: Business Consulting and Services
Referrals increase your chances of interviewing at Innodata Inc. by 2x.
Get notified about new Medical Specialist jobs in Sete Lagoas, Minas Gerais, Brazil.
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
2 semanas atrás
Região Geográfica Intermediária de Sorocaba, Brasil Innodata Inc. Tempo inteiroOverview 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...
-
Medical Specialist
Há 6 dias
Região Geográfica Intermediária de Sorocaba, Brasil Innodata Inc. Tempo inteiroOverview Join to apply for the Medical Specialist role at Innodata Inc. 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 Innodata: Innodata (NASDAQ: INOD) is a leading data engineering company with more than 2,000 customers...
-
Medical Specialist
2 semanas atrás
Região Geográfica Intermediária de São Paulo, Brasil Innodata Inc. Tempo inteiroJoin 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 across...
-
Medical Document Retrieval Specialist
1 semana atrás
Região Geográfica Intermediária de Sorocaba, Brasil OperationsArmy Tempo inteiroMedical Document Retrieval Specialist (Remote) Schedule: Full-Time | Monday - Friday, 9:00 AM - 5:00 PM EST Apply here: Overview The Medical Document Retrieval Specialist plays a pivotal role in the healthcare medical records retrieval process. As the first step in the workflow, this position ensures all requests are complete, accurate, and prepared for...
-
Medical Specialist
3 semanas atrás
Região Geográfica Intermediária de Juiz de Fora, Brasil Innodata Inc. Tempo inteiroOverview Join to apply for the Medical Specialist role at Innodata Inc. 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 Innodata: Innodata (NASDAQ: INOD) is a leading data engineering company with more than 2,000 customers and...
-
Medical Specialist
2 semanas atrás
Região Geográfica Intermediária de Juiz de Fora, Brasil Innodata Inc. Tempo inteiroJoin to apply for the Medical Specialist role at Innodata Inc. 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...
-
Medical Specialist
2 semanas atrás
Região Geográfica Intermediária de São Paulo, Brasil Innodata Inc. Tempo inteiroOverview 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...
-
Medical Specialist
2 semanas atrás
Região Geográfica Imediata de Criciúma, Brasil Innodata Inc. Tempo inteiroOverview Join to apply for the Medical Specialist role at Innodata Inc. 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...
-
Medical Specialist
3 semanas atrás
Região Geográfica Intermediária de Juiz de Fora, Brasil Innodata Inc. Tempo inteiroInnodata (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...
-
Medical Specialist
2 semanas atrás
Região Geográfica Imediata de Criciúma, Brasil Innodata Inc. Tempo inteiroOverview 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...