Enforcement Analyst, Agentic Alignment

Anthropic Limited; Boston, Washington (MA, District of Columbia); Hybrid; USD 245.000 - 285.000; Vollzeit

Zusammenfassung

Anthropic Limited is seeking an Enforcement Analyst focused on Agentic Alignment to identify and investigate harmful and unexpected behavior by models, and to make enforcement decisions. You will work closely with Policy, Threat Intel, Engineering, Research, and Transparency teams to operationalize review pipelines and document reasoning for enforcement decisions.

You will engage with large datasets and transcripts, including exposure to sensitive content, and contribute to enforcement workflows

Qualifikationen

• Read and understand code (e.g., Python, JavaScript, shell) to follow what happened and why it matters
• Background in security, cyber threat intelligence, or a related technical field
• Experience in trust and safety, enforcement investigations, or a related field
• Structured investigations: build a case from first signal to final finding and know when evidence is strong enough to act
• Support or contribute to formal enforcement actions, including case documentation and escalation coordination
• Write clearly and concisely; present findings to Legal, Policy and Engineering audiences

Aufgaben

• Review and investigate potential instances of Agentic Misalignment from transcripts, tool-use traces, and code
• Triage cases by severity and urgency and communicate through appropriate channels
• Operationalize review pipelines for agentic cases and translate leads into scalable workflows
• Make enforcement decisions under the Usage Policy and document reasoning
• Assess cyber-related agentic activity to determine real-world harm potential
• Write clear, well-evidenced case write-ups for enforcement peers and leadership
• Identify patterns across cases and feed findings back to policy, detection and research teams
• Maintain rigorous documentation of enforcement decisions, logic, and precedents
• Collaborate with Threat Intelligence, Research, Engineering and Policy partners to keep detection coverage up to date
• Use Claude and other AI systems to accelerate investigations: summarizing transcripts, analyzing code, querying data
• Contribute to regular reports on agentic harm trends and enforcement outcomes

Kenntnisse

Read code (Python/JavaScript/shell)

Security/cyber threat intel

Trust & safety enforcement

Structured investigations

Case documentation & escalation

Clear written findings

Escalation judgment

Non-technical stakeholder comms

AI safety familiarity

Data analysis from transcripts/logs

Ausbildung

Bachelor's degree or equivalent

Jobbeschreibung

About the company

the company’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

the company is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As an Enforcement Analyst focused on Agentic Alignment, you will play a crucial role in identifying and investigating harmful and unexpected behavior by models, and make enforcement decisions accordingly. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including: Policy, Threat Intel, Engineering, Research, and Transparency. Your work will be essential in maintaining the company's commitment to safe and beneficial AI as Claude takes on more autonomous work.

***Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.*Key responsibilities**

• Review and investigate potential instances of Agentic Misalignment, working from transcripts, tool-use traces, and code
• Triage cases by severity and urgency and share through the appropriate channels
• Help operationalize review pipelines for agentic cases, translating leads from detection outputs and investigations into structured review workflows that scale
• Make enforcement decisions under the Usage Policy, applying it consistently to novel agentic scenarios and across surfaces, and documenting the reasoning behind each decision
• Assess cyber-related agentic activity, such as scanning, exploitation attempts, credential misuse or malicious code to determine its real-world harm potential
• Write clear, well-evidenced case write-ups for audiences ranging from enforcement peers to senior leadership
• Identify patterns and trends across cases, and close the loop between enforcement outcomes and upstream improvements by feeding findings back to policy, detection and research teams to improve policies, classifiers and model behavior
• Maintain rigorous documentation of enforcement decisions, review logic and precedents to build institutional knowledge
• Collaborate with Threat Intelligence, Research, Engineering and Policy partners so that detection coverage keeps pace with how agentic misuse and misaligned behavior evolve
• Use AI systems, including Claude, to accelerate your own investigations: summarizing long transcripts, analyzing code, querying data and building lightweight tooling
• Contribute to regular reports on agentic harm trends and enforcement outcomes

Minimum qualifications

• Can read and understand code (for example Python, JavaScript or shell scripts) well enough to follow what happened and why it matters
• Have a background in security, cyber threat intelligence, or a similar technical field that lets you understand how cyber harm happens and judge its severity
• Have experience in trust and safety, enforcement, investigations or a related field, translating ambiguous policy questions and facts into defensible enforcement decisions and clear written findings
• Have conducted structured investigations, building a case from first signal to final finding and knowing when the evidence is strong enough to act on
• Have supported or contributed to formal enforcement actions, including case documentation, evidence packaging and escalation coordination
• Write clearly and concisely, and can present complex findings to stakeholders across Legal, Policy and Engineering, including non-technical audiences
• Have sound judgment about when a case needs escalation, and the resilience to work with difficult content

Preferred qualifications

• Have demonstrated use of AI systems to accelerate your own work, and are excited to keep finding new ways to do so
• Are comfortable working with large volumes of data, from long transcripts, logs and traces to complex, multi-table datasets, and surfacing the behavioral patterns that matter
• Are curious about how AI agents behave, and enjoy investigating behavior no one has categorized before, building approaches where established playbooks don’t exist
• Have familiarity with AI safety and alignment, and current debates about the risks of increasingly autonomous AI systems

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.

Annual Salary:

$245,000—$285,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.