About The Position

Volga Partners is seeking experienced pharmaceutical and biotechnology professionals to evaluate AI-generated content related to pharmaceutical analytical sciences, laboratory operations, quality, manufacturing, and regulatory expectations. The role involves assessing content for scientific and technical accuracy, completeness, consistency, regulatory alignment, and sound reasoning, then providing structured feedback to improve AI model performance. This is not a laboratory operations role: the contractor will not perform analytical testing, develop methods, manage laboratories, or support product release. Assignments are completed independently through designated online platforms using project-specific evaluation criteria and quality standards. The work is remote and project-based, with variable schedules and tasks offered as available. Work may be irregular or intermittent; hours and future assignments are not guaranteed. The engagement and project duration depend on requirements and assignment availability. Qualified candidates may need to complete screening questions and evaluation exercises before selection.

Requirements

  • At least 4 years of professional experience in Quality Control, Analytical Development, Analytical Chemistry, Pharmaceutical Testing, or related laboratory functions.
  • Bachelor's degree or higher in Chemistry, Pharmaceutical Sciences, Pharmacy, Biochemistry, Biotechnology, Microbiology, Life Sciences, or a related discipline.
  • Experience supporting pharmaceutical laboratory operations in regulated environments.
  • Experience with analytical method development, validation, transfer, or routine testing activities.
  • Familiarity with pharmaceutical analytical instrumentation such as HPLC, UPLC, GC, LC-MS, UV, dissolution systems, or related technologies.
  • Understanding of laboratory investigations, including OOS, OOT, deviations, and root cause analysis.
  • Knowledge of FDA regulations, GMP requirements, and relevant ICH guidelines.
  • Experience reviewing scientific and manufacturing documentation.
  • 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.
  • Comfort working within a task-based freelance engagement model.

Nice To Haves

  • PharmD, MS, MBA, PhD, or other advanced scientific credentials.
  • Experience with analytical method validation and transfer programs.
  • Experience supporting stability testing and shelf-life studies.
  • Expertise with chromatographic and spectroscopic techniques.
  • Experience conducting OOS, OOT, and laboratory deviation investigations.
  • Knowledge of USP, EP, and compendial testing requirements.
  • Experience supporting regulatory submissions through analytical documentation and data review.
  • Experience collaborating with Quality Assurance, Manufacturing, Regulatory Affairs, and Product Development teams.
  • Experience with technical writing, laboratory 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.

Responsibilities

  • Evaluate AI-generated pharmaceutical content for scientific, technical, and regulatory accuracy, completeness, consistency, and compliance with industry standards.
  • Review information related to quality systems, manufacturing, validation, submissions, development, and compliance activities.
  • Assess whether AI-generated conclusions are supported by scientific principles, regulatory expectations, and industry best practices.
  • Identify unsupported claims, technical inaccuracies, missing context, inconsistencies, and flawed reasoning.
  • Validate information against relevant FDA requirements, GMP regulations, ICH guidelines, and accepted pharmaceutical industry practices.
  • Explain evaluation findings clearly and recommend technically accurate corrections.
  • Apply project-specific evaluation criteria, scoring guidelines, and quality standards to support AI quality improvement.
  • Complete independent evaluations accurately and within established project timelines using designated online platforms.
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