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A leading data engineering company is seeking a Generative AI Associate Analyst to shape AI's understanding of microbiological sciences. This part-time role involves evaluating AI-generated responses for accuracy and relevance in the medical field. Candidates must hold a Master's or PhD in Medical Microbiology and possess expertise in microbial pathogenesis and clinical diagnostics. Excellent written communication skills in English are required. The position is remote with flexible hours.
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 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.
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.
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