Technical Influence Operations Threat Investigator
Remote-Friendly, United StatesFull-TimeMid-levelOperations
About Anthropic
- Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
- We are looking for a Technical Influence Operations Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic’s AI systems for influence operations, disinformation campaigns, coordinated inauthentic behavior, and other forms of information manipulation.
- You will work at the intersection of AI safety and information integrity, combining deep expertise in influence operations with technical investigation skills to identify threat actors who leverage AI to generate synthetic content, amplify narratives, manipulate public discourse, or undermine democratic processes. Your work will directly shape how Anthropic defends against one of the most rapidly evolving categories of AI misuse.
- Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Responsibilities
- Detect and investigate attempts to misuse Anthropic’s AI systems for influence operations, including AI-generated disinformation, coordinated inauthentic behavior, astroturfing, and narrative manipulation campaigns
- Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover coordinated networks of threat actors conducting influence operations
- Develop influence operation-specific detection capabilities, including abuse signals, behavioral clustering techniques, and detection methodologies tailored to AI-enabled information manipulation
- Create actionable intelligence reports on influence operation TTPs, emerging narrative threats, and threat actor campaigns leveraging AI systems
- Conduct cross-platform threat analysis linking on-platform activity to broader influence campaigns across social media, messaging platforms, and other digital ecosystems
- Monitor and analyze state-sponsored and non-state influence operations that may leverage AI capabilities, with particular focus on operations originating from or targeting geopolitically significant regions
- Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions
- Engage with external stakeholders including government agencies, platform integrity teams, academic researchers, and threat intelligence sharing communities
- Forecast how advances in AI technology—including improved content generation, voice synthesis, and multimodal capabilities—will reshape the influence operations landscape and inform safety-by-design strategies
You may be a good fit if you
- Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, disinformation, or information warfare
- Have demonstrated proficiency in SQL and Python for data analysis and threat detection
- Have experience tracking and attributing influence campaigns to specific threat actors, including state-sponsored operations
- Have hands-on experience with large language models and understanding of how AI technology could be weaponized for influence operations
- Have experience with open-source intelligence (OSINT) methodologies and tools for investigating online information ecosystems
- Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners
- Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership
Strong candidates may also have
- Experience at a major technology platform working on influence operations, platform integrity, or content authenticity
- Background in intelligence analysis, information operations, or counter-disinformation within government or military contexts
- Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored information campaigns
- Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic (speaking, reading, and writing) combined with a nuanced understanding of the geopolitical landscape and cultural context of the respective regions
- Familiarity with social network analysis techniques and tools for mapping coordinated behavior
- Background in AI safety, machine learning security, or technology abuse investigation
- Experience building and scaling threat detection systems or abuse monitoring programs
- Active Top Secret security clearance
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
- The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
