1

Red Teaming Jobs (NOW HIRING)

They are seeking a Red-Teaming Quality Assurance Lead to oversee quality and consistency in AI red-teaming projects, ensuring that safety training data is realistic and policy-aligned. The role ...

About the role This role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously uncover failure modes in our models and safeguards, and translate ...

next page

Showing results 1-20

Red Teaming information

What is Red Teaming?

Red Teaming is a cybersecurity practice where experts simulate real-world attacks on an organization's systems, networks, or processes to identify vulnerabilities and test defenses. Unlike traditional security testing, Red Teaming takes an adversarial approach, mimicking the tactics, techniques, and procedures of actual threat actors. The goal is to assess how well an organization can detect, respond to, and recover from sophisticated attacks, ultimately strengthening its overall security posture.

How much money do red teamers make?

Red teamers typically earn between $80,000 and $150,000 annually, depending on experience, certifications, and location. Senior professionals with specialized skills or certifications like OSCP or CISSP can earn higher salaries, especially in large organizations or cybersecurity firms.

What are the key skills and qualifications needed to thrive as a Red Teamer, and why are they important?

To thrive as a Red Teamer, you need strong knowledge of cybersecurity principles, penetration testing, network protocols, and typically a degree in computer science or a related field. Familiarity with tools like Metasploit, Kali Linux, Burp Suite, and certifications such as OSCP or CEH are commonly required. Creative problem-solving, critical thinking, and effective communication are crucial soft skills that set exceptional Red Teamers apart. These competencies are essential to accurately simulate real-world cyber threats, identify vulnerabilities, and effectively communicate risks to improve organizational security.

What jobs make 3000 a month without a degree?

Red Teaming roles typically require specialized cybersecurity skills and often prefer certifications like OSCP or CEH, which can lead to salaries around $3,000 or more per month. Entry-level cybersecurity or IT support positions may also reach this income level with experience and relevant skills, even without a degree, especially in freelance or contract work environments.

How to get a job in red teaming?

To get a job in red teaming, candidates typically need a strong background in cybersecurity, ethical hacking, or penetration testing, often supported by certifications such as OSCP, CEH, or GPEN. Practical experience with security tools, scripting skills, and knowledge of network and system vulnerabilities are essential, along with the ability to simulate real-world attacks in controlled environments.

What are the typical challenges faced by professionals working in Red Teaming, and how can they overcome them?

Red Teaming professionals often encounter challenges such as staying updated with rapidly evolving security threats, gaining realistic access to target environments, and balancing creativity with ethical boundaries. Effective collaboration with Blue Teams and clear communication with stakeholders are essential for impactful assessments. To overcome these challenges, Red Teamers should engage in ongoing training, participate in security communities, and maintain a strong ethical framework while leveraging diverse technical skills and tools.

What are red team jobs?

Red team jobs involve simulating cyberattacks to test an organization's security defenses. Professionals in these roles use hacking techniques, security tools, and penetration testing skills to identify vulnerabilities and improve security measures. These jobs often require knowledge of networks, systems, and security protocols, and may involve certifications like OSCP or CISSP.
More about Red Teaming jobs
What cities are hiring for Red Teaming jobs? Cities with the most Red Teaming job openings:
What states have the most Red Teaming jobs? States with the most job openings for Red Teaming jobs include:
Infographic showing various Red Teaming job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 70% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Full-time

Posted 28 days ago


Job description

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company that delivers training data for major AI companies and foundation-model labs. They are seeking a Red-Teaming Quality Assurance Lead to oversee quality and consistency in AI red-teaming projects, ensuring that safety training data is realistic and policy-aligned. The role involves evaluating outputs, providing feedback, managing quality workflows, and supporting onboarding for contributors.
Responsibilities:
• Quality monitoring: Spot-check red-teaming items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Safety and red-team review: Evaluate adversarial prompts, model responses, risk classifications, safety analyses, policy explanations, and vulnerability reports for accuracy, realism, and usefulness.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and red-teaming-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around risk categories, adversarial strategy, policy boundaries, edge cases, severity, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain red-teaming project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and red-teaming-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply red-teaming and safety-review guidelines consistently and understand updates as projects evolve.
• Risk review: Flag unsafe, low-quality, unrealistic, policy-inconsistent, or insufficiently documented red-team items.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for AI red-teaming projects.
Qualifications:
Required:
• Bachelor’s, Master’s, or professional experience in Computer Science, Cybersecurity, AI Safety, Trust & Safety, Public Policy, Psychology, Linguistics, Law, Security Studies, Risk Analysis, or a related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in AI safety, red-teaming, cybersecurity, trust and safety, content policy, risk analysis, adversarial testing, model evaluation, content moderation, or related workflows.
• Strong understanding of AI risk categories, adversarial prompting, jailbreak patterns, harmful-content taxonomies, misuse scenarios, policy interpretation, model behavior, and safety evaluation principles.
• Ability to evaluate red-teaming content against detailed rubrics and identify issues such as weak adversarial design, unrealistic scenarios, poor risk categorization, policy misinterpretation, unsafe outputs, or superficial vulnerability testing.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
Preferred:
• Familiarity with areas such as prompt injection, social engineering, cybersecurity abuse, fraud, self-harm safety, extremist content, misinformation, privacy risk, illicit behavior, bias, and model refusal behavior.
• Experience leading or supporting remote teams of red-teamers, reviewers, policy analysts, annotators, researchers, or QAs.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Experience with AI training, LLM evaluation, safety evaluations, content moderation QA, policy QA, or rubric-based review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.