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Review de-identified clinical cases and pharmaceutical images to provide expert evaluations. Develop scoring rubrics to serve as reference benchmarks for AI system training.
We're running a paid study on clinical decision-making to help benchmark medical AI systems. This work feeds directly into improving how automated tools interpret pharmaceutical data and patient cases. Your medical expertise ensures these emerging technologies rely on accurate, real-world clinical standards.
You will review a series of de-identified clinical cases and pharmaceutical product images through our remote platform. For each case, you will provide detailed expert reviews and help develop scoring rubrics for AI evaluation. The workflow involves assessing the provided data, identifying key clinical markers, and documenting your professional judgment. You will complete these tasks asynchronously while following our structured evaluation guidelines.
We are looking for practicing pharmacists with strong clinical evaluation skills. We welcome retail pharmacists, clinical pharmacists, and those working in specialized hospital settings. Candidates should be highly comfortable reviewing patient cases and communicating complex medical reasoning clearly.
Review de-identified clinical cases and pharmaceutical product images.
Develop scoring rubrics based on standard clinical practices.
Provide written expert evaluations to serve as reference benchmarks.
Assess the accuracy of various medical data interpretations.
Actively practicing pharmacist
Experience reviewing and evaluating clinical patient cases
Comfortable navigating digital review platforms
Strong written communication skills for documenting medical reasoning
$90 per task
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at terac.com or on YouTube at @jointerac.
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