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Ai Detection Jobs (NOW HIRING)

Pangram

Account Executive - Enterprise

New York, NY · On-site

$160K - $240K/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. We are looking for high agency, mission-driven ...

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

Account Executive - Education

New York, NY · On-site

$200K - $250K/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. We are looking for high agency, mission-driven ...

GPTZero

Product Engineer (Toronto)

Manhattan, NY · On-site

$150 - $200/hr

As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and ...

TEKsystems

AI Security Engineer

Bolingbrook, IL · On-site

$75 - $80/hr

This is a hands-on engineering role responsible for implementing AI/ML security controls, integrating AI risk detection into existing security tooling, and supporting secure-by-design AI development ...

Stream Security

Account Executive

Description About Stream Security Stream Security is an AI Detection & Response (AI DR) company built for the era of AI-driven environments across cloud, on-prem, and SaaS. As AI agents operate with ...

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Showing results 21-40

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.

Senior Threat Intelligence Researcher

New York, NY • On-site

Aegis AI
See more jobs at Aegis AIexternal

Full-time

Re-posted 3 days ago

Job description

Overview
We're a team of ex-Google engineers who built some of the largest defensive platforms on the planet - Safe Browsing and reCAPTCHA. Now, we're striking out on our own to tackle an even bigger challenge: stopping the new wave of adversarial AI attacks already hitting organizations today.
We're going after a $5B+ market, ripe for disruption. Traditional detection methods are too slow to keep up. Adversaries are using AI to craft customized, high-evasion attacks - and old-school rules-based systems don't stand a chance.
The Role
We are seeking a Senior Threat Intelligence Analyst to join our growing team. This role blends hands-on investigation of phishing, BEC, and malware campaigns with research and thought leadership that advances the broader cybersecurity community.
You will lead investigations into real-world email threats, contribute directly to detection improvements, and publish high-quality analysis (blogs, whitepapers, presentations) to establish AegisAI as a leader in the space.
This is a high-impact, customer-facing and industry-facing role where your research will shape our product roadmap and thought leadership strategy.
This role goes beyond triaging alerts:
  • You'll investigate and reverse-engineer real-world email attacks.
  • Identify patterns and trends in attacker behavior and translate those insights into improvements for our detection systems.
  • Collaborate with engineering to shape how our AI models adapt to emerging threats.
  • Produce written reports and analysis that we can share publicly, helping raise the bar for email security as an industry.

What You'll Do
  • Investigate Campaigns: Analyze phishing, BEC, and malware-based campaigns to uncover attacker infrastructure, TTPs, and trends.
  • Detection Improvement: Collaborate with engineering and data science teams to feed intelligence into our AI detection models and automation workflows.
  • Malware & Artifact Analysis: Perform static and dynamic analysis of malicious files, links, and payloads using sandbox and forensic tools.
  • Customer & Partner Engagement: Provide actionable threat insights to customers and support investigations with clear, executive-ready reporting.
  • Threat Intelligence Publications: Write blogs, advisories, and industry-facing research reports that highlight emerging threats and novel findings.
  • Community Engagement: Represent AegisAI at conferences, webinars, and industry events to share insights and build credibility.
  • Playbooks & Knowledge Sharing: Document attack patterns, build runbooks, and share learnings with internal teams and the wider security community.

Who You Are
  • 7+ years of cybersecurity experience, with at least 3-4 years focused on threat intelligence and investigations.
  • Hands-on experience in email security investigations (phishing, BEC, spam campaigns).
  • Strong knowledge of malware analysis tools and methodologies (sandboxing, static/dynamic analysis, reverse engineering basics).
  • Track record of published threat research (blogs, papers, advisories, or conference presentations).
  • Excellent written and verbal communication skills - able to translate technical findings into impactful narratives for both executives and security professionals.
  • Familiarity with frameworks such as MITRE ATT&CK, and threat intel platforms like MISP or Recorded Future.

Bonus
  • Prior public presentations at security conferences (SANS, FS-ISAC, Black Hat, mWISE, etc.).
  • Experience engaging with journalists or industry analysts on emerging threats.

Our culture
  • Flat, flexible, and fast.
  • You'll own your decisions.
  • You'll have clear KPIs for success - but how you get there is up to you.
  • Development cycles are measured in days, not weeks.
  • If you're hungry to build AI that fights AI, and want to work with a team that moves at the speed of the real world, come talk to us.

Apply