Alice (Formerly ActiveFence) Logo

Alice (Formerly ActiveFence)

Freelancer - AI CBRN Experts

Posted 7 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Expert/Leader
Remote
Hiring Remotely in USA
Expert/Leader
As a CBRN expert at Alice.io, you will evaluate and create prompts for Generative AI systems, ensuring their safety and accuracy in CBRN contexts. You'll provide expert feedback and stay updated with relevant research and regulations.
The summary above was generated by AI
Description

Alice.io (formerly known as ActiveFence) is a leading trust, safety, and security company. Just like 'Alice' herself, we go down the rabbit hole into the emerging world of AI and focus on safeguarding these technologies. In a world where AI has fundamentally changed the nature of risk, Alice offers coverage across the entire AI lifecycle.

We're currently on the ground floor of an exciting new initiative: building an "Elite Collective" of the world's premier CBRN experts—high-stakes, project-based work for the "best of the best" specialists in the industry.

Work is on-demand and project-dependent, scaling up and down based on the needs of the client. This is not a high-volume, repetitive role; it is an opportunity to be tapped for specific, high-impact interventions when your unique expertise is required.

The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're looking for the sharpest minds to help us secure the frontier.

The invitation is open: Come join us at the tea party.

About the Position

As one of Alice's CBRN experts, you'll focus on ensuring the safety and integrity of Generative AI (GenAI) systems by leveraging your specialized knowledge in Chemical, Biological, Radiological, and Nuclear domains. You will create domain-specific prompts and evaluate AI-generated responses to help identify vulnerabilities and ensure content accuracy, reliability, and ethical integrity.

We are seeking experts in one or more of the following specializations:

  • Biology – Molecular biology, genetics, biotechnology, and related fields
  • Chemistry – Organic, inorganic, physical, and analytical chemistry
  • Virology – Epidemiology, immunology, and infectious diseases
  • Nuclear Energy – Nuclear power generation, safety, and regulations
  • Radioactive Materials – Radioactive energy applications, safety, and compliance

Key Responsibilities

  • Write domain-specific CBRN prompts, including adversarial prompts designed to test model vulnerabilities and resistance to generating dangerous outputs
  • Evaluate AI-generated responses for accuracy, scientific validity, and regulatory compliance
  • Identify and flag content that is incorrect, harmful, misleading, or ethically concerning
  • Provide constructive feedback to improve prompt design and content generation
  • Stay updated with current research, regulations, and best practices within your area of expertise
Requirements

Requirements

  • Advanced degree in a relevant CBRN field (Ph.D. preferred; Master's degree with significant experience will be considered)
  • Deep expertise in at least one of the following areas: Biology, Chemistry, Virology, Nuclear Energy, or Radioactive Materials
  • Excellent analytical skills with keen attention to detail
  • Strong written communication skills to articulate findings and recommendations clearly
  • Ability to work independently and manage time effectively in a remote environment

Preferred Qualifications

  • Expertise in multiple CBRN domains
  • Experience with AI or machine learning projects
  • Previous experience in content moderation, academic review, red-teaming, or consulting roles
  • Familiarity with ethical considerations and challenges in AI-generated content
  • Knowledge of AI prompt engineering concepts and practices, including adversarial prompt writing

All applicants will be required to complete a screening exam and background check. 

Similar Jobs

An Hour Ago
Remote or Hybrid
San Francisco, CA, USA
147K-278K Annually
Senior level
147K-278K Annually
Senior level
Cloud • Software
This role involves leading a Site Reliability Engineering team, managing FedRAMP-compliant infrastructure, collaborating across teams, and ensuring operational excellence and security.
Top Skills: ArchitectureAutomationCloudCybersecurityFedrampIncident ResponseMonitoringMulti-Tiered Architecture
An Hour Ago
In-Office or Remote
43K-57K Annually
Mid level
43K-57K Annually
Mid level
Big Data • Information Technology • Software • Analytics • Energy
The Owner Relations Agent handles owner inquiries regarding revenue and land issues, responds to client needs, and manages relationships through effective communication and follow-up.
Top Skills: MS OfficeVarious Oil And Gas Software Programs
An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
151K-297K Annually
Expert/Leader
151K-297K Annually
Expert/Leader
Big Data • Cloud • Software • Database
Join MongoDB's Query Execution team to improve the database's core execution engine, build high-performance query features, and mentor team members. You will drive roadmap initiatives and ensure production-ready code for complex analytical workloads.
Top Skills: C++

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account