Handshake
AI
AIRedTeamer,CBRNE
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Red Teamer, CBRNE at Handshake. Skills: CBRNE domain expertise, AI safety, Adversarial evaluation. Design adversarial prompts. Evaluate model outputs”
What You'll Achieve.
Find and document model failures; Translate findings into actionable model improvements
Industry & Context.
Adversarial problem-solving skills; Think in attack trees; Think in threat models
Engagement with sensitive CBRNE-related content, Work within a structured evaluation framework, Strict ethical guidelines, Operational security protocols
What They're Looking For.
Must Have
Graduate-level education or equivalent professional experience in a relevant CBRNE field, Ability to evaluate the technical accuracy and real-world consequence of model outputs in your domain, Understanding of dual-use research concerns and the distinction between open-source knowledge and operationally significant uplift, hands-on experience using multiple LLMs (ChatGPT, Claude, Gemini, open-source models, etc. ), Creative, adversarial problem-solving skills, Clear and precise written communication, including the ability to explain technical risk to non-specialist audiences, ethical judgment and the ability to separate adversarial thinking from personal values, Self-directed, collaborative, and comfortable in feedback-heavy environments
Nice to Have
Active or prior security clearance (Secret, Top Secret, or SCI), Experience in threat assessment, WMD analysis, intelligence analysis, or arms control verification, Background in biosafetyiosecurity, chemical safety, nuclear nonproliferation, or explosive ordnance disposal, Familiarity with relevant regulatory frameworks (CWC, BWC, IAEA safeguards, ATF regulations, Export Administration Regulations), Experience in red teaming, penetration testing, or structured adversarial evaluation in any context, Familiarity with Python or scripting languages, LLM APIs, or evaluation tooling, Published research or professional presentations in a relevant CBRNE domain, Prior work in trust and safety, content moderation, or AI evaluation
What You'll Do.
Design adversarial prompts
Evaluate model outputs
Probe dual-use knowledge boundaries
Test multi-step attack chains
Score model responses
Identify uplift differences
Contribute to evaluation frameworks
Collaborate with teams
Stay current on model capabilities
How You'll Work.
Team & Collaboration
Collaborate with other red teamers; Collaborate with AI researchers; Collaborate with policy teams
Communication Scope
Clear and precise written communication; Explain technical risk
Full Job Description
ABOUT HANDSHAKE Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions. In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We’ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month. Why join Handshake now: - Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel - Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders - Build a massive, fast-growing business with billions in revenue About Handshake AI Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. ABOUT THE ROLE As a CBRNE Red Teamer, you will evaluate whether AI models appropriately handle queries related to chemical, biological, radiological, nuclear, and explosive threats. Your job is to probe models for dangerous knowledge gaps in their safety guardrails, testing whether they can be manipulated into providing meaningful uplift toward the creation, acquisition, or deployment of weapons or hazardous materials. This work sits at the intersection of AI safety and national security. You will use your domain expertise to craft reali
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