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Job Title:
Health Sciences Subject Matter Expert – AI Training & Content Development
About Innodata:
Innodata (NASDAQ: INOD) is a global leader in data engineering and AI-powered technology solutions, trusted by more than 2,000 customers worldwide, including 4 of the top 5 global technology companies. With operations in 13 cities and a global workforce of over 5,000 experts across the United States, Canada, the UK, the Philippines, India, Sri Lanka, Israel, and Germany, Innodata is driving innovation at the intersection of artificial intelligence (AI), natural language processing (NLP), and large language models (LLMs).
By combining advanced ML/AI technologies, specialized domain expertise, and a secure global infrastructure, we deliver next-generation solutions that are transforming industries such as healthcare, financial services, insurance, law, and medicine.
About the Role:
We are seeking a Health Sciences Subject Matter Expert (SME) with exceptional academic, clinical, or research expertise to join our AI/ML training data team. In this role, you will help train advanced LLMs by creating, curating, and reviewing high-quality medical and health sciences content.
Your work will directly shape how AI systems understand, explain, and reason about medical and healthcare-related knowledge, ensuring accuracy, safety, and alignment with scientific and ethical standards.
Key Responsibilities:
Content Development & Curation
- Produce high-quality, scientifically accurate content in health sciences, including:
- Clinical case studies & medical scenarios
- Evidence-based research summaries
- Public health, epidemiology, and health policy briefs
- Biomedical science explanations
- Patient education and health communication materials
Model Training & Evaluation
- Review and validate AI-generated outputs for:
- Medical accuracy
- Clinical relevance
- Readability and compliance with ethical guidelines
- Build and refine datasets across healthcare domains, including:
- Medicine
- Nursing
- Public Health
- Nutrition & Pharmacology
- Psychology & Mental Health
- Biomedical Research
Collaboration & Quality Assurance
- Partner with AI researchers and engineers to:
- Address conceptual gaps in training datasets
- Provide structured feedback to enhance AI-generated healthcare content
- Develop evaluation rubrics for safety, bias, and factual correctness
Eligibility Criteria:
- Advanced degree required: Master’s, MD, PharmD, PhD, or equivalent in Health Sciences, Medicine, Nursing, Public Health, Pharmacology, or related fields.
- Proven expertise in clinical practice, biomedical research, or health sciences education.
- Strong scientific writing and critical analysis skills.
- Familiarity with evidence-based practice, clinical guidelines, and health communication.
- Experience with **research publication, peer review,
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