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Biosecurity & Synthetic Biology Expert

$90
per hour
Contractor Remote Last verified 21 Jul 2026
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About the Role

micro1 is engaging Biosecurity & Synthetic Biology Experts to contribute advanced domain expertise to a critical customer's project involving biosecurity evaluation frameworks. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. • Develop a comprehensive taxonomy for biological misuse scenarios, incorporating current and emergent threats.

What You'll Do

  • Develop a comprehensive taxonomy for biological misuse scenarios, incorporating current and emergent threats.
  • Design safe and realistic evaluation scenarios to test biosafety measures and dual-use risk protocols.
  • Establish robust severity ratings for biological ris

You're a Good Fit If You

  • Required skills: Biosecurity, Lab Safety, Biological Misuse, Public-Health Threat Modeling

Role Highlights

Pay
$50-$90/h
Contract
Contractor
Location
Remote
Category
Model evaluation
Posted
a month ago
Job ID
WE-7360

Pay & Payout

Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.

Common Questions

micro1 has a reliability rating of reliable based on the listings we track, with an onboarding time of 1-3 days. See our full micro1 review for the details behind that rating.

Applying takes you to micro1's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.

$50-$90/h - Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.

Develop a comprehensive taxonomy for biological misuse scenarios, incorporating current and emergent threats. Design safe and realistic evaluation scenarios to test biosafety measures and dual-use risk protocols. Establish robust severity ratings for biological ris

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