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Penetration Tester / Red Team Operator (AI-Focus) We are seeking a highly skilled Penetration ... Excellent written and verbal communication skills. * Ability to present technical findings to ...

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Write clear technical explanations and security-relevant code. * Provide feedback that directly ... generation of AI security models. Qualifications: * 2+ years of hands-on experience in a ...

Write clear technical explanations and security-relevant code. * Provide feedback that directly ... generation of AI security models. Qualifications: * 2+ years of hands-on experience in a ...

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How much do ai writing tester jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for ai writing tester in the United States is $38.36, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $50.72 per hour, depending on experience, location, and employer.

What types of projects or writing samples will I review as an AI Writing Tester?

As an AI Writing Tester, you will review a wide range of AI-generated writing, including articles, product descriptions, social media posts, and email drafts, depending on the company's products and clientele. Your responsibilities typically involve evaluating the content for clarity, grammatical accuracy, coherence, and alignment with client guidelines or brand voice. You may also provide detailed feedback to developers or content teams and occasionally collaborate on refining prompt templates. Expect to work both independently and as part of cross-functional teams in a mix of test cycles, quality audits, and collaborative improvement initiatives.

What is an AI Writing Tester job?

An AI Writing Tester evaluates the quality, accuracy, and coherence of AI-generated text. They review content for grammar, readability, and logical flow while providing feedback to improve the AI's performance. This role may involve testing different writing styles, detecting biases, and ensuring the AI produces human-like responses. Strong language skills and attention to detail are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Ai Writing Tester position, and why are they important?

To thrive as an AI Writing Tester, you need excellent written communication skills, analytical thinking, and a background in language or content evaluation, often paired with a bachelor’s degree in English, linguistics, or a related field. Familiarity with AI-driven writing platforms, bug-tracking tools, and content management systems is highly beneficial, and certifications in technical writing or natural language processing may offer an advantage. Attention to detail, curiosity, and strong problem-solving abilities are standout soft skills for this role. These qualities enable testers to accurately identify issues, provide constructive feedback, and ensure the quality and relevance of AI-generated content.

More about Ai Writing Tester jobs
What cities are hiring for Ai Writing Tester jobs? Cities with the most Ai Writing Tester job openings:
What are the most commonly searched types of Ai Writing Tester jobs? The most popular types of Ai Writing Tester jobs are:
What states have the most Ai Writing Tester jobs? States with the most job openings for Ai Writing Tester jobs include:
Infographic showing various Ai Writing Tester job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $79,791 per year, or $38.4 per hour.
AI Penetration Tester (Red Team)

AI Penetration Tester (Red Team)

GTN Technical Staffing

Las Vegas, NV • On-site

$80/hr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

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Job description

Penetration Tester / Red Team Operator (AI-Focus)


We are seeking a highly skilled Penetration Tester and Red Team Operator with a strong focus on AI-enabled security testing. This role combines traditional offensive security testing with advanced adversary simulation and AI system security assessment.

 The successful candidate will leverage artificial intelligence tools to enhance penetration testing methodologies while also assessing the security and robustness of AI-driven applications, including large language models (LLMs) and machine learning systems. This position requires a strong technical foundation, an adversarial mindset, and the ability to communicate risk effectively to both technical and non-technical stakeholders.


Key Roles & Responsibilities:

Penetration Testing

  • Conduct internal and external network penetration tests.
  • Perform web application and API security assessments.
  • Execute cloud security assessments across AWS, Azure, or GCP environments.
  • Identify, exploit, and document vulnerabilities in a controlled and ethical manner.
  • Validate remediation efforts through structured re-testing.
  • Produce comprehensive technical reports and executive-level summaries.
  • Collaborate with stakeholders to define the objectives and scope of testing.


Red Team Operator 

  • Plan and execute adversary emulation exercises aligned with real-world threat actors.
  • Simulate full attack lifecycles including initial access, privilege escalation, lateral movement, persistence, and data exfiltration.
  • Conduct social engineering and phishing campaigns where authorized.
  • Evaluate detection and response capabilities in collaboration with defensive teams.
  • Develop and refine offensive tooling and techniques to emulate evolving threats.


 AI-Enhanced Offensive Security

  • Utilize AI and LLM-based tools to enhance reconnaissance, payload development, and automation.
  • Develop workflows integrating AI into penetration testing processes and Red team operations.
  • Evaluate the effectiveness and limitations of AI tools in offensive security operations.
  • Continuously assess emerging AI technologies for potential security applications.


AI / Machine Learning Security Testing

  • Conduct security assessments of AI-powered applications and services.
  • Test for vulnerabilities including prompt injection, jailbreak attempts, model abuse, and data leakage.
  • Evaluate risks related to model extraction, model inversion, and training data poisoning.
  • Assess Retrieval-Augmented Generation (RAG) implementations and AI plugin integrations.
  • Contribute to AI threat modeling and secure deployment recommendations.


Research and Development 

  • Stay current with emerging threats, vulnerabilities, and offensive security methodologies.
  • Contribute to the development of internal tools, scripts, and red team frameworks.
  • Maintain knowledge of industry standards such as MITRE ATT&CK and OWASP (including AI-focused frameworks).
  • Support continuous improvement of offensive security methodologies.


Required Qualifications

  • Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or equivalent experience.
  • 3–7+ years of experience in penetration testing, red teaming, or offensive security.
  • Experience using AI tools to automate or enhance technical workflows.
  • Understanding of AI/LLM architectures and common attack vectors against AI systems.
  • Demonstrated experience conducting full-scope penetration tests and adversary simulations.
  • Strong understanding of networking, operating systems (Windows and Linux), Active Directory, and web technologies.
  • Experience with industry-standard tools such as Burp Suite, Metasploit, Nmap, BloodHound, and command-and-control frameworks.
  • Proficiency in Python and scripting (Bash or PowerShell).


Preferred Qualifications

  • Offensive security certifications (e.g., OSCP, OSEP, CRTO, GPEN, GWAPT).
  • Experience testing AI or machine learning systems in production environments.
  • Knowledge of secure software development practices.
  • Experience in cloud-native environments and containerized systems.
  • Prior experience contributing to open-source security tools or research publications.


Core Competencies

  • Strong analytical and problem-solving skills.  
  • Adversarial and creative thinking mindset.
  •  Excellent written and verbal communication skills.
  • Ability to present technical findings to executive leadership.
  • High ethical standards and professional integrity.
  • Ability to manage multiple projects and deadlines effectively.

Company Description

GTN is the leader in SOW management & technical staffing, leveraging innovation to drive next-generation recruiting to Fortune 200 companies.