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Red Teaming Jobs (NOW HIRING)

We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. About the Role mpathic is seeking part-time, ...

We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. About the Role mpathic is seeking part-time, ...

Our adversarial red teaming, model evaluations, and intelligence collection enable engineering, safety, and security teams to stay ahead of evolving threats and deploy AI systems safely. About the ...

Red Teaming Expert

Seattle, WA · On-site

$30 - $40/hr

We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains. About the Role mpathic is seeking part-time, ...

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

As a Red Teaming Fellow, you will help evaluate the safety, security, and reliability of advanced AI systems. Fellows work alongside researchers, engineers, and subject-matter experts to identify ...

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 ...

Biosafety Red Teaming Specialist

Seattle, WA · On-site +1

$158K - $320K/yr

Lead bio red teaming work from a domain perspective, including shaping evaluation questions, scenarios, and success criteria for biology-relevant misuse pathways. * Review and pressure-test bio red ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

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 ...

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 ...

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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.

Can you make $500,000 a year in cyber security?

Red Teaming professionals can potentially earn $500,000 or more annually, especially with extensive experience, advanced certifications like OSCP or CISSP, and roles in high-paying industries or senior leadership positions. Achieving this level often requires specialized skills, a strong reputation, and working in organizations with large security budgets.

How much do red teamers get paid?

Red teamers typically earn between $70,000 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 high-demand industries or organizations with complex security needs.

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.

How to get a job in red teaming?

To get a job in red teaming, candidates typically need a strong background in cybersecurity, penetration testing, or ethical hacking, often supported by certifications such as OSCP, CISSP, or CREST. Practical experience with security tools, scripting skills, and knowledge of attack techniques are essential, along with the ability to think creatively and work in simulated adversarial 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 skills, penetration testing tools, and security knowledge to identify vulnerabilities and improve security measures. These jobs often require certifications like OSCP or CEH and may involve working in controlled, team-based environments.
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Red Teaming Expert

$30 - $40/hr

Contractor

Posted 27 days ago


Job description

    About mpathic.ai

    Keeping the human in AI. mpathic is a trusted leader in advancing quality and safety in AI systems through expert-led evaluation and human data. We partner with leading technology companies to support red teaming, trust & safety, expert annotation, and model evaluation across high-stakes domains.


    About the Role

    mpathic is seeking part-time, project-based Red Teaming Experts to support a red-teaming and evaluation campaign focused on AI safety and model behavior in sensitive, real-world interactions.


    In this role, you will design, simulate, and evaluate conversations with AI systems to assess safety, risk, and behavioral performance. You will identify failure modes, edge cases, and policy gaps-particularly in scenarios involving distress, ambiguity, or escalation.


    This role involves roleplaying and reviewing clinical scenarios with AI agents. As such, we are ideally seeking candidates who bring creative or performance-driven strengths, as these competencies enhance the realism, nuance, and emotional depth needed for AI safety testing. Examples of these can include, but are not limited to:

    • Theatre degrees or studies
    • Acting, theatre, improv, or voice-over experience
    • Strong writing skills, especially dialogue or scenario writing
    • Experience creating or inhabiting characters (e.g., performers, TTRPG roleplay, narrative designers)
    • Conversational design, interaction writing, or scripted roleplay experience
    • Participation in gaming, interactive storytelling, or digital communities where roleplay is common


    What You'll Be Working On

    You will help identify, prevent, and characterize risks that emerge when users interact with AI systems.


    Responsibilities may include:

    • Designing and executing red-teaming scenarios across diverse user behaviors
    • Reviewing AI-generated responses for safety, accuracy, and policy compliance
    • Identifying failure modes, edge cases, and behavioral risks
    • Assessing whether AI appropriately recognizes and responds to distress or escalation
    • Evaluating tone, boundaries, and appropriateness in sensitive interactions
    • Detecting misleading, overconfident, or unsafe responses
    • Evaluating multi-turn conversations for consistency and risk handling
    • Identifying gaps in responses, including missed signals or incomplete handling
    • Conducting qualitative analysis to identify behavioral patterns and system weaknesses
    • Documenting edge cases, failure patterns, and safety risks
    • Applying or contributing to evaluation rubrics, taxonomies, and frameworks
    • Supporting quality assurance (QA) to ensure consistency across evaluations
    • Collaborating with internal teams on AI safety and evaluation improvements
    • Participating in red teaming exercises to surface system vulnerabilities
    • Maintaining strict confidentiality and quality standards


    What We're Looking For

    Successful candidates are detail-oriented, analytically strong, and experienced in evaluating or stress-testing AI systems in complex or high-risk scenarios.


    Professional experience in one or more of the following:

    • LLM red teaming or AI safety evaluation
    • Trust & safety, content moderation, or policy enforcement
    • AI/ML evaluation, annotation, or QA workflows
    • Conversational analysis or behavioral risk assessment
    • Work involving sensitive or high-stakes user interactions

    Strong understanding of:

    • AI safety principles and common failure modes
    • Behavioral risk, escalation patterns, and edge-case handling
    • Mental health sensitivity, boundaries, and responsible AI behavior
    • How users express distress, confusion, or harmful intent in conversation

    Ability to identify:

    • Safety violations and policy gaps
    • Missed or mishandled risk signals
    • Unsafe, misleading, or overconfident responses
    • Inappropriate tone or boundary-setting
    • Failures in escalation, de-escalation, or resolution
    • Inconsistencies across multi-turn interactions

    Experience with or Interest in:

    • Red teaming methodologies and adversarial testing
    • Evaluating conversational AI systems or chatbots
    • Developing or applying evaluation frameworks and rubrics
    • Understanding how AI systems perform under real user behavior

    Comfort with:

    • Tech tools and platforms (Slack, spreadsheets, dashboards)
    • Evaluating AI-generated responses (no coding required, but must be tech-comfortable)
    • Ambiguity, iteration, and feedback-driven workflows

    Willingness to:

    • Sign NDAs and work with sensitive or high-impact content

    Nice to Have (Not Required)

    • Background in mental health, behavioral science, or psychology
    • Experience in QA, annotation, or qualitative analysis
    • Experience with AI systems in sensitive domains (e.g., healthcare, safety)
    • Familiarity with evaluation metrics or safety frameworks


    Compensation

    $30-60/hour, depending on experience and specific project tasks/difficulty