- Review and critique AI-generated scientific content, explanations, and data summaries
- Evaluate the accuracy and clarity of AI suggestions related to scientific problems, research analysis, health assessments, or technical documentation
- Create, extend, and refine real-world scenarios, problem sets, and case studies within your area of expertise
- Identify logical errors, risks, and gaps in AI-generated outputs
- Provide actionable structured feedback to increase accuracy and rigor
- Guide AI in better understanding and applying key domain concepts, lab procedures, and technical language
Data AnalysisProblem SolvingWritten communication