Pharmaceutical Quality Assurance Subject Matter Expert - AI Model Evaluation
Volga Partners
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Job summary
Volga Partners is seeking Pharmaceutical Quality Assurance professionals to join as Subject Matter Experts evaluating AI-generated pharmaceutical and biotechnology content. This is a freelance, project-based role focused on quality systems, GMP compliance, investigations, and regulatory reasoning.
You will identify errors, assess regulatory expectations, and provide clear, technically accurate feedback to improve AI model performance.
Qualifications
- Minimum 4 years of pharmaceutical QA experience.
- Bachelor's degree or higher in Pharmacy, Pharmaceutical Sciences, Chemistry, Biotechnology, or related discipline.
- Experience with GMP-regulated environments.
- Understanding of QMS, CAPA, deviations, and change control systems.
- Strong analytical and technical review skills.
- Excellent written English communication skills.
- Ability to work independently and follow detailed review instructions.
- Comfortable working within a task-based freelance engagement model.
Responsibilities
- Evaluate AI-generated pharmaceutical content for accuracy, completeness, consistency and regulatory compliance.
- Review scientific and regulatory information related to quality systems, manufacturing, validation, submissions, development and compliance activities.
- Analyze technical reasoning to ensure conclusions are supported by scientific principles and regulatory expectations.
- Identify errors, inconsistencies, missing context and flawed reasoning in AI outputs.
- Validate information referencing FDA requirements, GMP regulations, ICH guidelines and industry practices.
- Provide expert feedback with clear findings and recommended corrections.
- Support AI quality improvement using evaluation criteria and quality standards.
- Complete independent evaluations on designated online platforms within project timelines.
Skills
Education
Job description
Remote | United States | Project-Based Independent Contractor
Compensation: $20-$50 USD/hour, based on specialty, experience, and project requirements
What if your expertise in pharmaceutical quality systems, GMP compliance, and quality oversight could help artificial intelligence better understand quality management practices and regulatory expectations?
At Volga Partners, we're connecting experienced pharmaceutical quality professionals with opportunities to contribute to the development and evaluation of advanced AI models.
We're seeking Pharmaceutical Quality Assurance professionals who can apply their expertise in quality systems, compliance, investigations, and GMP operations to evaluate AI-generated pharmaceutical content.
This isn't a traditional position. You won't be preparing submissions, managing product registrations, or interacting with health authorities. Instead, you'll evaluate complex regulatory content, identify technical inaccuracies, assess regulatory reasoning, and provide structured feedback that improves AI model performance.
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.
As a Pharmaceutical Quality Assurance Subject Matter Expert (SME), you'll serve as a subject matter evaluator, helping assess the quality, accuracy, and reasoning of AI-generated pharmaceutical and biotechnology content.
You'll analyze scientific, regulatory, manufacturing, and compliance-related scenarios, identify errors or unsupported conclusions, and provide expert feedback grounded in industry standards, regulatory frameworks, and professional judgment.
Your contributions will help improve how AI systems understand and respond to complex pharmaceutical and biotechnology challenges.
- Evaluate AI-generated pharmaceutical content: Assess scientific, technical, and regulatory responses for accuracy, completeness, consistency, and compliance with industry standards.
- Review scientific and regulatory information: Examine content related to quality systems, manufacturing, validation, submissions, development, and compliance activities.
- Analyze technical reasoning: Determine whether AI-generated conclusions are supported by relevant scientific principles, regulatory expectations, and industry best practices.
- Identify errors and inconsistencies: Recognize unsupported claims, technical inaccuracies, missing context, and flawed reasoning.
- Validate information: Reference relevant FDA requirements, GMP regulations, ICH guidelines, and accepted pharmaceutical industry practices.
- Provide expert feedback: Clearly explain findings, identify opportunities for improvement, and recommend technically accurate corrections.
- Support AI quality improvement: Apply project-specific evaluation criteria, scoring guidelines, and quality standards.
- Complete independent evaluations: Use designated online platforms to complete assignments accurately and within established project timelines.
Use the knowledge you've developed throughout your regulatory affairs career to contribute to advanced AI technologies.
Your evaluations will help strengthen the quality and reliability of AI-generated pharmaceutical and regulatory information.
Participate in project-based assignments from an eligible location, with flexibility based on project availability.
Gain experience contributing to AI evaluation initiatives while leveraging your existing regulatory expertise.
We're looking for professionals who can identify regulatory risks, evaluate compliance considerations, and communicate expert assessments clearly.
Volga Partners offers project-based hourly compensation based on specialization, relevant experience, professional qualifications, geographic location, and assignment requirements.
Pharmaceutical Quality Assurance Subject Matter Expert (SME),: $25-$50 USD/hour
Compensation may vary based on experience level, area of expertise, and task complexity.
- Engagement Type: Project-based independent contractor
- Work Arrangement: Remote
- Primary Location: United States preferred
- Additional Markets: Professionals outside the United States may be considered if they possess substantial U.S. pharmaceutical industry experience
- Schedule: Variable and assignment-based
- Project Type: Pharmaceutical AI content evaluation
- Project Duration: Based on project requirements and assignment availability
- Selection Process: Qualified candidates may be required to complete screening questions and evaluation exercises prior to project selection
Specific assignments, schedules, workloads, and project dates will be communicated as they are confirmed. Hours and future assignments are not guaranteed.
If you're an experienced pharmaceutical regulatory professional who enjoys analyzing complex compliance requirements, evaluating technical information, and applying regulatory judgment, we'd love to hear from you.
Join Volga Partners and help shape the next generation of pharmaceutical AI.
We're seeking experienced Regulatory Affairs professionals in the Pharmaceutical world who bring practical industry expertise and are comfortable reviewing technical information, exercising independent judgment, and clearly explaining their conclusions.
- Minimum 4 years of pharmaceutical QA experience
- Bachelor's degree or higher in Pharmacy, Pharmaceutical Sciences, Chemistry, Biotechnology, or a related discipline
- Experience with GMP-regulated environments
- Understanding of QMS, CAPA, deviations, and change control systems
- Strong analytical and technical review skills
- Ability to critically evaluate technical and regulatory information
- Strong analytical, research, and problem-solving skills
- Excellent written English communication skills
- Ability to work independently and follow detailed review instructions
- Comfortable working within a task-based freelance engagement model
We encourage applications from professionals with backgrounds such as:
- Quality Systems leadership experience
- Inspection readiness experience
- Supplier quality management experience
- ASQ certification or equivalent quality credentials
- Experience managing post-approval changes and variations
- Technical writing or document review experience
- Familiarity with AI evaluation, data annotation, or quality review activities
Experience with AI model evaluation, large language models (LLMs), research, or structured quality assessments is beneficial but not required.
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