Pharmaceutical Manufacturing Science & Technology Subject Matter Expert - AI

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

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.

Why Join Volga Partners?

Apply Your Industry Expertise in a New Way

Use the knowledge you've developed throughout your pharmaceutical or biotechnology career to contribute to advanced AI technologies.

Help Improve Scientific Accuracy

Your evaluations will help strengthen the quality and reliability of AI-generated pharmaceutical and regulatory information.

Work Remotely

Participate in project-based assignments from an eligible location, with flexibility based on project needs and availability.

Explore the Future of Pharmaceutical Technology

Gain experience contributing to AI evaluation initiatives while applying your existing scientific and regulatory expertise.

No AI Background Required

We're looking for professionals who can recognize accurate scientific reasoning, identify errors, and communicate expert assessments with clarity.

Compensation:

Volga Partners offers project-based hourly compensation based on specialization, relevant experience, professional qualifications, geographic location, and assignment requirements.

Pharmaceutical Manufacturing / Manufacturing Science & Technology (MSAT) Subject Matter Expert (SME): $25-$50 USD/hour

Compensation may vary based on experience level, area of expertise, and task complexity.

Project Details

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.

Bring Your Pharmaceutical Expertise to the Future of AI

If you're an experienced pharmaceutical or biotechnology professional who enjoys analyzing complex scientific information, applying regulatory and technical expertise, and contributing to innovative technology, we'd love to hear from you.

Join Volga Partners and help shape the next generation of pharmaceutical AI.

Apply today to be considered for upcoming project opportunities.

Requirements

Who We're Looking For

We're seeking experienced Pharmaceutical Manufacturing and MSAT professionals who bring practical industry expertise and are comfortable reviewing technical information, exercising independent judgment, and clearly explaining their conclusions.

Required Qualifications

Minimum of 4 years of professional experience in Pharmaceutical Manufacturing, Manufacturing Science & Technology (MSAT), Technical Operations, Process Engineering, Production Support, or related pharmaceutical functions

Bachelor's degree or higher in Pharmaceutical Sciences, Pharmacy, Chemical Engineering, Biotechnology, Chemistry, Biochemistry, Biomedical Engineering, Life Sciences, or a related discipline

Experience supporting pharmaceutical manufacturing operations in GMP-regulated environments

Experience with process monitoring, process optimization, manufacturing investigations, or technical operations support

Understanding of pharmaceutical production processes and manufacturing controls

Knowledge of FDA regulations, GMP requirements, and relevant ICH guidelines

Experience reviewing manufacturing documentation, batch records, process performance data, or technical reports

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

Preferred Qualifications

We encourage applications from professionals with backgrounds such as:

PharmD, MS, MBA, PhD, or other advanced scientific credentials

Experience supporting technology transfer from development to commercial manufacturing

Experience troubleshooting manufacturing deviations and process issues

Experience with process characterization, process validation, and continued process verification

Experience supporting sterile, biologic, vaccine, or oral solid dosage manufacturing operations

Knowledge of Lean Manufacturing, Six Sigma, Operational Excellence, or Continuous Improvement methodologies

Experience collaborating with Quality Assurance, Validation, Regulatory Affairs, Engineering, and Supply Chain teams

Experience interpreting process performance metrics and manufacturing trends

Experience with technical writing, investigation reports, or manufacturing documentation review

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.

Posting text as published by Volga Partners.

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