Volga Partners

Pharmaceutical Manufacturing Science & Technology Subject Matter Expert - AI

United States · Remote
Full-time
$20-$50
Posted Oct 29, 2026

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Skills

Communication
Compliance
Operations
Problem Solving
Large Language Models
Lean Manufacturing
Six Sigma
Supply Chain
Troubleshooting
Writing

Job description

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.