
Pharmaceutical Quality Assurance Subject Matter Expert – AI Model Evaluation
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Assess the accuracy, completeness, consistency, and adherence to industry standards of AI-generated pharmaceutical content.
• Examine scientific and regulatory data related to quality systems, manufacturing processes, validation, submissions, development, and compliance activities.
• Evaluate whether conclusions drawn from AI outputs are aligned with scientific principles, regulatory expectations, and industry best practices.
• Detect unsupported assertions, technical inaccuracies, absent context, and flawed reasoning.
• Reference FDA guidelines, GMP regulations, ICH standards, and accepted practices within the pharmaceutical industry.
• Deliver expert feedback, clarify findings, and propose technically accurate modifications.
• Utilize project-specific evaluation criteria, scoring guidelines, and quality benchmarks.
• Conduct independent assessments using designated online platforms while adhering to project timelines.
• At least 4 years of experience in pharmaceutical Quality Assurance.
• A Bachelor's degree or higher in Pharmacy, Pharmaceutical Sciences, Chemistry, Biotechnology, or a related field.
• Experience in GMP-regulated settings.
• Knowledge of Quality Management Systems (QMS), Corrective and Preventive Actions (CAPA), deviations, and change control processes.
• Strong analytical and technical review capabilities.
• Ability to critically assess technical and regulatory documentation.
• Excellent analytical, research, and problem-solving abilities.
• Outstanding written English communication skills.
• Capacity to work independently while adhering to detailed review instructions.
• Comfort with a freelance engagement model focused on task-based work.
• Experience in leading Quality Systems is preferred.
• Familiarity with inspection readiness is preferred.
• Experience in supplier quality management is preferred.
• ASQ certification or equivalent quality credentials are preferred.
• Experience in managing post-approval changes and variations is preferred.
• Technical writing or document review experience is preferred.
• Familiarity with AI evaluation, data annotation, or quality review tasks is preferred.
• Experience with AI model assessments, large language models (LLMs), research, or structured quality evaluations is beneficial but not mandatory.
• Opportunity for remote work.
• Flexible schedule based on assignments.
• Project-based tasks ideal for supplemental income.
• Chance to contribute to cutting-edge AI technologies.
• Experience in AI evaluation initiatives.
• No prior AI experience is necessary.
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