Pharmaceutical Content Evaluation Expert

You will review, evaluate, and create pharmaceutical content and data for an AI training project. Your work will assess scientific accuracy, interpret drug-related information, and provide clear feedback based on established pharmaceutical and clinical standards.

The role covers drug safety, efficacy, indications, contraindications, adverse effects, pharmacokinetics, mechanisms of action, clinical research, and drug development.

• Review pharmaceutical and drug-related information for scientific and clinical accuracy.
• Analyze drug safety, efficacy, indications, contraindications, and adverse effects.
• Apply pharmacology, pharmacokinetics, and mechanisms-of-action knowledge to pharmaceutical scenarios.
• Review clinical research and drug-development materials for inaccuracies and improvement opportunities.
• Interpret pharmaceutical and clinical data and explain conclusions with supporting reasoning.
• Complete structured evaluation, annotation, and quality-review tasks for AI training content.
• Provide written feedback based on established pharmaceutical and clinical standards.

This is remote, part-time contractor work for people in the United States. English is required, and the expected time commitment is at least 20 hours per week.

• Pay: $80 to $285 per hour, paid in USD.
• Work arrangement:
  Remote, part-time contract.
• Location:
  
  United States only.
• Language:
  English.
• Time commitment: 20 or more hours per week.
• Preferred education:
  
  PharmD, PhD, MD, or an equivalent advanced degree in pharmacy, pharmaceutical sciences, pharmacology, clinical pharmacology, or a related field.
• Professional background:
  Pharmaceuticals, clinical research, drug development, pharmacology, or pharmacovigilance experience.
• Knowledge:
  Drug safety, efficacy, pharmacokinetics, and mechanisms of action.
• Experience:
  
  Reviewing or interpreting clinical or pharmaceutical data and scientific literature.
• Skills:
  
  Strong analytical reasoning and written communication.
• Helpful experience:
  Evaluating technical content, annotating structured data, or explaining complex pharmaceutical evidence in writing.

AI training is the human work behind systems that learn from reviewed examples, including pharmaceutical content evaluation and structured feedback. Open Train is a platform where people find and build careers in AI training and data labeling, while specialists contribute the expertise needed to assess complex subject matter accurately.