Review AI-generated scientific content, explanations, and data summaries
Evaluate the accuracy and clarity of AI suggestions on scientific problems and health data
Create, extend, and refine real-world scenarios, problem sets, and case studies
Identify logical errors ("AI slop"), risks, and gaps in AI outputs; provide actionable feedback
Guide AI in applying domain concepts, lab procedures, and technical language

🎯 Requirements

Current or former student in science, health, or aviation
Based in the EU or UK
Analytical, detail-focused; able to spot inaccuracies
Excellent written communication; able to provide constructive feedback
Available for 8–20 hours/week and able to work remotely

🎁 Benefits

Flexible, remote, project-based freelance roles
Impact how AI learns and supports scientific workflows
Growth via the 10x Team AI Academy
Join a dynamic expert network with rapid onboarding

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