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 development, formulation science, process development, and technical operations could help artificial intelligence better understand how pharmaceutical products are developed, optimized, scaled, and commercialized?

At , we're connecting experienced pharmaceutical professionals with opportunities to contribute to the development and evaluation of advanced AI models.

We're seeking experienced CMC Scientists and Technical Development professionals who can apply their scientific expertise, technical judgment, and industry knowledge to evaluate AI-generated pharmaceutical content.

This isn't a traditional pharmaceutical development position. You won't be developing formulations, conducting laboratory research, overseeing technology transfers, or supporting commercial manufacturing operations. Instead, you'll evaluate complex scientific and technical content, identify inaccuracies, assess scientific 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.

The Opportunity

As a CMC Scientist / Technical Development 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 scientific, formulation, manufacturing, development, and technical operations scenarios, identify errors or unsupported conclusions, and provide expert feedback grounded in pharmaceutical science, development principles, and industry best practices.

Your contributions will help improve how AI systems understand and respond to complex pharmaceutical development and manufacturing challenges.

What You'll Do

• Evaluate AI-generated pharmaceutical content: Assess scientific, technical, and development-focused responses for accuracy, completeness, consistency, and alignment with industry standards.
• Review pharmaceutical development information: Examine content related to formulation development, process development, manufacturing science, technology transfer, scale-up activities, and commercialization.
• Analyze scientific reasoning: Determine whether AI-generated conclusions are supported by pharmaceutical sciences, engineering principles, development methodologies, and industry best practices.
• Identify errors and inconsistencies: Recognize unsupported claims, technical inaccuracies, flawed development approaches, and missing scientific context.
• Validate information: Reference applicable FDA requirements, ICH guidelines, pharmaceutics principles, and accepted pharmaceutical development 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 ?Apply Your Industry Expertise in a New Way

Use the knowledge you've developed throughout your regulatory affairs career to contribute to advanced AI technologies.

Help Improve Scientific Accuracy

Your expertise will help strengthen the quality and reliability of AI-generated pharmaceutical development and technical content.

Work Remotely

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

Explore the Future of Pharmaceutical Technology

Gain experience contributing to AI evaluation initiatives while leveraging your existing regulatory expertise.

No AI Background Required

We're looking for professionals who can identify regulatory risks, evaluate compliance considerations, and communicate expert assessments clearly.

Compensation:

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

CMC Scientist / Technical Development 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 scientist or technical development professional who enjoys analyzing complex scientific challenges, evaluating development strategies, and applying technical expertise to solve problems, we'd love to hear from you.

Join and help shape the next generation of pharmaceutical AI.

Apply today to be considered for upcoming project opportunities.

RequirementsWho We're Looking For

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.

Required Qualifications

• • Minimum of 5 years of professional experience in Pharmaceutical Development, Technical Development, Formulation Development, Process Development, Manufacturing Sciences, or related CMC functions
  • Bachelor's degree or higher in Pharmaceutical Sciences, Pharmacy, Chemistry, Biochemistry, Chemical Engineering, Biotechnology, Biomedical Engineering, Life Sciences, or a related discipline
  • Experience supporting drug substance and/or drug product development activities
  • Experience with formulation, process development, technical operations, or manufacturing sciences
  • Understanding of pharmaceutical product development lifecycle activities
  • Familiarity with FDA regulations and relevant ICH guidelines, including development-related expectation
  • Experience interpreting scientific, technical, and manufacturing data
  • Ability to critically evaluate scientific and technical 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, or PhD
• Experience with oral solid dosage, sterile, injectable, biologic, vaccine, or combination product development
• Experience supporting technology transfer activities
• Experience with process characterization, process optimization, or manufacturing scale-up
• Knowledge of Quality by Design (QbD) principles and control strategy development
• Experience with stability studies, comparability assessments, and product lifecycle management
• Experience collaborating with Regulatory Affairs, Quality, Manufacturing, and Analytical Development teams
• Experience with technical writing, development reports, or scientific document review
• 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.