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Law Enforcement Analyst Jobs (NOW HIRING)

Certified Law Enforcement Analyst (CLEA) credential, or ability to obtain within 18 months * Excellent written and verbal communication skills, strong critical thinking, and the ability to manage ...

Certified Law Enforcement Analyst (CLEA) credential, or ability to obtain within 18 months * Excellent written and verbal communication skills, strong critical thinking, and the ability to manage ...

CRIME ANALYST

Sanford, FL · On-site

$50K - $62K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

This position performs analytical, intelligence, and investigative support to the Sheriff's Office ... One (1) year of experience working for a law enforcement agency preferred * Experience using ...

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Law Enforcement Analyst information

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$32K

$84.2K

$133.5K

How much do law enforcement analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for law enforcement analyst in the United States is $84,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $98,500.00 per year, depending on experience, location, and employer.

How does a law enforcement analyst typically collaborate with officers and detectives in ongoing investigations?

Law Enforcement Analysts play a crucial role in supporting officers and detectives by providing data-driven insights and actionable intelligence. They regularly attend briefings, review case files, and share crime pattern analyses to help prioritize leads and allocate resources efficiently. Analysts often work closely with investigative teams to interpret trends, identify suspects, and recommend strategic approaches, ensuring their findings directly inform and enhance the investigative process.

What are the key skills and qualifications needed to thrive as a law enforcement analyst, and why are they important?

To thrive as a Law Enforcement Analyst, you need a background in criminal justice, data analysis, and investigative techniques, often supported by a relevant degree or law enforcement experience. Familiarity with crime mapping software, statistical analysis tools, and databases such as CAD and RMS is typically required. Strong critical thinking, attention to detail, and effective communication skills help analysts interpret data and present actionable insights. These competencies are vital for supporting law enforcement operations, improving public safety strategies, and enabling informed decision-making.

What is a law enforcement analyst?

Law enforcement analysts are professionals who support police and other law enforcement agencies by collecting, analyzing, and interpreting data related to crime patterns, trends, and criminal behavior. Their work helps agencies make informed decisions about resource allocation, crime prevention strategies, and investigations. They often use various software tools to analyze large data sets and may prepare reports or presentations for officers and department leadership. Law enforcement analysts play a crucial role in modern policing by providing actionable intelligence for both short-term and long-term planning.
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What cities are hiring for Law Enforcement Analyst jobs?

Cities with the most Law Enforcement Analyst job openings:

What are the most commonly searched types of Law Enforcement Analyst jobs?

The most popular types of Law Enforcement Analyst jobs are:

What states have the most Law Enforcement Analyst jobs?

States with the most job openings for Law Enforcement Analyst jobs include:

Infographic showing various Law Enforcement Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $84,207 per year, or $40.5 per hour.

Safeguards Enforcement Analyst, Violence & Extremism

Anthropic

Friendly, WV • On-site, Remote

$285K - $330K/yr

Full-time

PTO

Re-posted 2 days ago


Job description

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
As a Safeguards Enforcement Analyst focused on Violence & Extremism, you will be responsible for building and executing operational workflows to assess model behavior, drive enforcement decisions, and develop evals across a technically demanding range of policy areas. Your work spans detecting and mitigating attempts to misuse Anthropic's AI systems to facilitate real-world harm, including weapons and dangerous technology, critical infrastructure attacks, violent extremism, and threats of violence.
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 violent, graphic, hateful, or psychologically disturbing nature.
Key responsibilities
  • Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy
  • Develop and maintain evals that measure model performance on these policy areas, surface regressions, and inform policy and model improvements
  • Partner with Engineering and Data Science to optimize detection and automated enforcement systems for potential policy violations
  • Review flagged content to drive enforcement decisions and surface policy gaps, with particular attention to novel or technically sophisticated misuse attempts + emerging extremist movements, ideologies, and mobilization tactics
  • Support the Safeguards policy design team by providing structured feedback on policy gaps and enforcement ambiguities based on real enforcement scenarios
  • Develop and maintain enforcement guidelines and reviewer documentation that enable accurate, consistent enforcement across a wide range of content
  • Keep up to date with emerging threats, terrorist and extremist movements, regulatory changes, and AI policy enforcement best practices, and apply these to inform our workflows and evals
  • Identify and escalate emerging misuse patterns, novel attack vectors, and signs of coordinated violent extremist activity
Minimum qualifications
  • Experience in policy enforcement, threat intelligence, counterterrorism, government, or a closely related field, with direct exposure to harmful content, dangerous technology, violent extremism, or physical harm facilitation
  • Experience standing up and scaling policy enforcement or content review workflows
  • Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health
  • Experience identifying emerging risks and threat actors, and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
  • Experience working with generative AI products, including writing effective prompts for content review and enforcement
  • Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Preferred qualifications
  • Subject matter expertise in one or more high-stakes harm areas, such as weapons and dangerous technology, violent extremism, terrorism, autonomous systems, or critical infrastructure protection
  • Familiarity with relevant legal and regulatory frameworks governing dangerous technology, critical infrastructure, or domestic/international terrorism
  • Experience developing evals or red-teaming AI systems, particularly for harmful content or policy enforcement use cases
  • Experience with threat actor profiling and threat intelligence frameworks (e.g., MITRE ATT&CK)
  • Experience tracking threat actors, extremist networks, or misuse patterns across surface, deep, and dark web environments
  • Experience with large language models and an understanding of how AI technology could provide meaningful uplift toward serious harm
  • Proficiency in Python for data analysis and workflow automation
  • Background in law enforcement, national security, defense, counterterrorism, or a relevant regulatory environment
  • Experience assessing the technical plausibility and real-world harm potential of content, including the ability to distinguish between general educational content and genuine operational uplift, and between protected speech and genuine incitement/mobilization
  • Familiarity with cross-platform threat analysis and OSINT techniques

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:
$285,000-$330,000 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.
We encourage you to apply even if you do not believe you meet every single qualification. 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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.
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.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.