Remote | United States | Project-Based Independent Contractor Compensation: $20-$50 USD/hour, based on specialty, experience, and project requirements Help Shape the Future of AI in Pharmaceutical What if your expertise in pharmaceutical manufacturing, process optimization, technology transfer, and Manufacturing
About the role
Remote | United States | Project-Based Independent Contractor
Compensation: $20-$50 USD/hour, based on specialty, experience, and project requirements
Help Shape the Future of AI in Pharmaceutical
What if your expertise in pharmaceutical manufacturing, process optimization, technology transfer, and Manufacturing Science & Technology (MSAT) could help artificial intelligence better understand pharmaceutical production processes, operational excellence, and manufacturing best practices?
At Volga Partners , we're connecting experienced pharmaceutical professionals with opportunities to contribute to the development and evaluation of advanced AI models.
We're seeking experienced Pharmaceutical Manufacturing and MSAT professionals who can apply their manufacturing expertise, technical judgment, and industry knowledge to evaluate AI-generated pharmaceutical content.
Your pharmaceutical expertise is what matters. AI experience is a plus, not a requirement.
Important Note: This is a freelance, task-based role designed for those seeking supplemental income. It’s essential to understand the nature of freelance work—tasks will be assigned as they become available, and work may be irregular or intermittent.
The Opportunity
As a Pharmaceutical Manufacturing / Manufacturing Science & Technology (MSAT) Subject Matter Expert (SME) , you'll serve as a subject matter evaluator, helping assess the quality, accuracy, completeness, and scientific validity of Pharmaceutical AI-generated content.
You'll analyze manufacturing, process engineering, technology transfer, operational excellence, facility operations, and quality-related scenarios, identify errors or unsupported conclusions, and provide expert feedback grounded in pharmaceutical manufacturing principles, regulatory expectations, and industry best practices.
Your contributions will help improve how AI systems understand and respond to complex pharmaceutical and biotechnology challenges.
What You'll Do …
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