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Ai Detection Jobs (NOW HIRING)

Dropzone AI

Detection Engineering Lead

$104K - $138K/yr

About Dropzone AI Dropzone's mission is to scale cybersecurity beyond human limits, and augment ... As the Detection Engineering Lead, you will serve as one of Dropzone AI's foremost experts in ...

Dropzone AI

Detection Engineering Lead

$104K - $138K/yr

As the Detection Engineering Lead, you will serve as one of Dropzone AI's foremost experts in adversary tradecraft, threat detection, detection efficacy evaluation, and SIEM content. You will work ...

CrowdStrike Holdings, Inc.

$150 - $200/hr

## Sr. Engineer, AI - AI Detection and Response (AIDR) (Hybrid)Applylocations: USA - Redmond, WAtime type: Full timeposted on: Posted Todayjob requisition id: R26576As a global leader in ...

Pangram Labs

Performance Marketing Lead

Manhattan, NY · On-site

$100 - $125/hr

We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives. You'll build the paid function at a category ...

Pangram

Performance Marketing Lead

New York, NY · On-site

$130K - $150K/yr

We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives. You'll build the paid function at a category ...

Asymptote Labs

Founding Engineer, Security

Manhattan, NY · On-site

$200 - $250/hr

About Asymptote Asymptote is building the AI Detection & Response layer for the agentic enterprise . AI agents are becoming enterprise infrastructure, but security teams have no unified system of ...

Pangram Labs

Account Executive - Education

Manhattan, NY · On-site

$200 - $250/hr

We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives. We are looking for high agency, mission-driven ...

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All JobsAi Detection Jobs

Ai Detection information

See salary details

$16K

$148.2K

$191K

How much do ai detection jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ai detection in the United States is $148,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What is AI detection?

AI detection refers to the process of identifying whether a piece of content—such as text, images, or audio—has been generated by artificial intelligence rather than a human. This is important in fields like education, publishing, and cybersecurity to ensure authenticity and prevent misuse. AI detection tools analyze patterns, structures, and other signals that distinguish AI-generated content from human-created content. As AI models become more advanced, detection techniques are also evolving to keep up with new developments.

What are the key skills and qualifications needed to thrive as an AI detection specialist, and why are they important?

To thrive as an AI Detection Specialist, you need a solid background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Familiarity with AI detection tools, programming languages like Python, and platforms for natural language processing or image analysis is commonly required. Critical thinking, attention to detail, and strong problem-solving abilities help distinguish top performers in this field. These skills ensure accurate identification and mitigation of AI-generated content, which is vital for maintaining data integrity and trust in digital environments.

What are some common challenges faced by professionals working in AI detection roles?

Professionals in AI detection roles often face the challenge of staying ahead of rapidly evolving AI-generated content and techniques used to evade detection. They must continuously update their skills and utilize the latest tools to effectively identify deepfakes, synthetic media, or AI-assisted plagiarism. Collaboration with data scientists, engineers, and other stakeholders is essential to refine detection models and respond to new threats. Additionally, balancing accuracy with minimizing false positives is a key part of their daily work, as is communicating findings to non-technical teams.

What is the difference between Ai Detection vs Data Analyst?

AspectAi DetectionData Analyst
Required CredentialsKnowledge of AI models, programming skills, certifications in AI or machine learningDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, AI development labs, cybersecurity firmsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageUsed to identify AI-generated content or detect AI-based fraudUsed to interpret data, generate reports, and support decision-making

While Ai Detection focuses on identifying AI-generated content and ensuring AI system integrity, Data Analysts interpret and analyze data to inform business decisions. Both roles require analytical skills, but Ai Detection emphasizes AI and cybersecurity knowledge, whereas Data Analysts focus on data interpretation and visualization.

Do jobs use AI detection?

Jobs related to AI detection involve developing, implementing, or managing tools that identify AI-generated content or behaviors. These roles often require skills in machine learning, data analysis, and cybersecurity, and are common in industries focused on content moderation, fraud prevention, and digital security.

What other helpful pages are available for Ai Detection?

Other pages related to Ai Detection:

Infographic showing various Ai Detection job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $148,233 per year, or $71.3 per hour.

Detection Engineering Lead

Remote

Dropzone AI
Network Security • 1 - 10 employees
Learn more about Dropzone AIexternal

$104K - $138K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago

Job description

About Dropzone AI
Dropzone's mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot sufficiently protect our digital future, and AI augmentation is the only way for defenders to reclaim the high ground. We are an award winning company disrupting the $200B+ cybersecurity market.
Powered by Gen AI advancements, our technology offloads repetitive day-to-day work and frees human analysts to focus on real threats and higher-value projects. We are venture-backed, and our team has a rare blend of deep experience across cybersecurity, AI/ML, and SaaS product development. Join us if you want to be on the ground floor of using Gen AI to transform cyber defense. Learn more at www.dropzone.ai.
About the role
We're looking for a highly experienced Senior / Principal Detection Engineer to help shape the future of AI-driven security operations. This is a senior-to-principal level role for an individual who combines deep detection engineering expertise with a passion for innovation, customer impact, and advancing the state of security operations.
As the Detection Engineering Lead, you will serve as one of Dropzone AI's foremost experts in adversary tradecraft, threat detection, detection efficacy evaluation, and SIEM content. You will work closely with product management and engineering teams to ensure our AI detection engineer can draft new detection contents and improve existing detection rules as well as the best detection engineer on the planet.
This role is part of the R&D team and you will focus on building the best software that replicates your expert intuitions and techniques. This is not a service or consulting role and you will not be performing hands-on detection engineering service to our customers.
What you'll do
Detection Engineering Leadership
  • Reimagine how having unlimited detection engineering capacity could change Detection and Response teams and how future security practitioners interact with an AI detection engineer
  • Prototype, validate, and continuously improve an AI agent that programmatically generates detection content across diverse security environments.
  • Experiment autonomous agentic loops between detection engineering and other D&R functions such as threat intelligence and threat hunting
Product Development
  • Partner with engineering teams to encode expert detection knowledge into our product.
  • Design scoring rubrics on AI generated detection content for SIEM, EDR, NDR, cloud, identity, and SaaS security platforms.
  • Provide guidance on detection methodologies used by mature SOCs.
  • Establish best practices for detection quality, tuning, testing, and lifecycle management.
  • Influence product roadmap decisions based on customer and operational needs.
Threat Research & Innovation
  • Stay current on emerging threats, attacker techniques, and defensive strategies.
  • Conduct original research into detection opportunities and gaps.
  • Develop novel approaches for AI-assisted threat detection.

Requirements
  • 5+ years of experience in detection engineering.
  • Deep expertise with two or more major SIEM platforms (Microsoft Sentinel, Splunk, QRadar, Elastic, Chronicle, Sumo Logic, etc.).
  • Strong understanding of endpoint, cloud, identity, network, and SaaS telemetry.
  • Expertise in MITRE ATT&CK, adversary emulation, and detection coverage analysis.
  • Experience building and tuning high-fidelity detections at scale.
  • Strong understanding of modern attacker tradecraft across Windows, Linux, cloud, identity, and SaaS environments.
  • Excellent communication skills with the ability to engage practitioners, executives, and customers.
  • Early-stage startup mindset. You thrive on ambiguity and move with lightspeed execution
  • Being data-driven is part of your DNA.
Preferred
  • Experience leading detection engineering programs at large complex environments.
  • Expertise with EDR platforms such as CrowdStrike, Microsoft Defender, SentinelOne, or Palo Alto Cortex XDR.
  • Experience with cloud security platforms including AWS, Azure, and GCP.
  • Familiarity with AI, machine learning, LLMs, or autonomous security workflows.
  • Experience contributing to open-source detection content (Sigma, YARA, Suricata, Zeek, etc.).
  • Public speaking, research publication, or conference presentation experience.

Work Environment/Travel
We are a 100% remote company where you will work from your home with company-provided equipment to set you up for success. Semi-frequent travel to professional office settings and other events locally and nationally; some overnight travel expected.
Compensation
In the spirit of pay transparency, we are excited to share the base salary range below, exclusive of fringe benefits or potential bonuses. If you are hired at Dropzone your final base salary compensation will be determined based on factors such as geographic location, skills, education, and/or experience. In addition, all compensation packages include significant above market new hire equity grants because we believe in rewarding long term value creation. If you are hired at Dropzone your final base salary compensation will be determined based on factors such as geographic location, skills, education, and/or experience. In addition to those factors, we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that hiring at the maximum of the range would not be typical to allow for future and continued salary growth. We also offer a generous benefits package, including company paid health insurance, 401K Plan with employer match, Self-Managed PTO, parental leave, and more.
The pay range for this role is:
$200,000-$250,000 USD

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