Medical Specialist

buscojobs Brasil; Uberlândia; Teletrabalho; BRL 80.000 - 120.000; Tempo parcial

Resumo da oferta

A leading data engineering company is seeking a Generative AI Associate Analyst with expertise in medical microbiology. This remote, part-time role involves evaluating AI-generated biomedical responses and providing annotations for accuracy and relevance. Candidates should have a Masters or PhD in medical microbiology or a related field, with proficiency in microbiological sciences and excellent written communication skills. Interested candidates should share their resumes via the provided email.

Qualificações

• Masters or PhD in Medical Microbiology, Immunology, or a closely related biomedical discipline.
• Expertise in microbial pathogenesis, clinical diagnostics, and immunology.
• Familiarity with laboratory procedures and interpretation of diagnostic test results.
• Excellent written communication skills and fluency in English.

Responsabilidades

• Critically assess AI-generated responses on microbiological topics.
• Apply structured annotation to texts for scientific correctness.
• Categorize model outputs using domain-specific taxonomies.
• Create real-world clinical scenarios to test model reasoning.

Conhecimentos

Microbial pathogenesis

Clinical diagnostics

Virology

Bacteriology

Parasitology

Immunology

Written communication

Fluency in English

Formação académica

Masters or PhD in Medical Microbiology

Relevant biomedical discipline

Ferramentas

Microbiological instrumentation

Descrição da oferta de emprego

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 worlds 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, were 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 (Masters 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 reasoning and adaptability to professional contexts, e.g., interpreting culture reports, recommending diagnostic tests, understanding resistance profiles.

Required Qualifications

• Masters 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 required as part of the project (mandatory and non-billable).

If interested, kindly share your updated resume at: [e-mail]