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Specialized PhD requirement but strong employer brand and metro location attract medium competition.
Requires scholarly domain expertise and PhD, making cross-industry transfers difficult and highly sensitive.
Mandatory PhD and domain expertise create stringent candidate filters and high shortlisting strictness.
Manage and oversee evaluation studies for GenAI products across multidisciplinary scholarly research domains, ensuring alignment with scientific and scholarly standards.
Lead and coordinate expert human and automated evaluations of AI outputs, including managing evaluator teams and supporting automated evaluation developments.
Translate evaluation findings into actionable recommendations for Operations, Product, and Marketing stakeholders to support targeted business outcomes.
PhD degree in life sciences, physical sciences, engineering and technology, health sciences, social sciences, arts and humanities, or related multidisciplinary fields.
Experience evaluating or validating AI or algorithmic outputs using scientific or scholarly research data.
Experience applying scientific or domain expertise in structured data or content environments (e.g., databases, taxonomies).
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to manage multidisciplinary evaluation projects involving AI products in academic or research-focused environments.
Strong collaboration skills to work effectively across Product, Data Science, Technology, Commercial, and Marketing teams in a matrixed organization.
Experience with structured data evaluation and a scientific approach to ensuring data quality and integrity in AI outputs for scholarly and research applications.