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Red Teaming Jobs (NOW HIRING)

Mercor

AI Safety Expert - Red Teaming

San Francisco, CA · Remote

$20 - $22/hr

Prior experience in red teaming (AI adversarial work, cybersecurity, socio-technical probing). * Strong communication skills. Explain risks clearly to technical and non-technical stakeholders.

Mercor

AI Safety Expert - Red Teaming

New York, NY · Remote

$20 - $22/hr

Prior red teaming experience in AI adversarial work , cybersecurity , or socio-technical probing . * Strong communication skills to explain risks to technical and non-technical stakeholders.

Beyond SOF

Red Team Analyst

Arlington, VA · On-site

Some responsibilities include, but are not limited to, the following: • Execute tasks and analyses related to Red Teaming military education and training initiatives. • Support the organization ...

Beyond SOF

Red Team Analyst

Arlington, VA · On-site

Execute tasks and analyses related to Red Teaming military education and training initiatives. Support the organization's objective to develop and implement guidance and provide oversight of ...

FAR.AI

About Red-Teaming at FAR.AI FAR.AI's red team is building toward a simple outcome: materially raising the bar for safety and security of the most widely deployed and capable AI systems in the world.

10a Labs

AI Red Teamer

Washington, DC · On-site

$70K - $90K/yr

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. In This Role ...

FAR.AI

About Red-Teaming at FAR.AI FAR.AI's red team is building toward a simple outcome: materially raising the bar for safety and security of the most widely deployed and capable AI systems in the world.

10a Labs

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

Has 2-4 years of experience in red-teaming, security research, trust & safety, or related fields. * Is comfortable scripting basic tests (Python, Bash, or similar) and working in Jupyter or prompt ...

Bishop Fox

Red Team Consultant

OR · Remote

With Bishop Fox you'll be running red teaming engagements, starting with research and including profiling organizations, defining attack objectives and crafting attack tree graphs and other key ...

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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 jobs near you

Red Teaming | Generative AI Analyst - USA (Remote)

Welo Global

Remote

$33.16/hr

Full-time

Posted 2 days ago

Job description

About the Role
We are hiring Red Teaming | Generative AI Analyst to support generative AI safety evaluation. In this role, you will interact with AI models, create and evaluate prompts, and identify where model responses fail against defined safety expectations.
Project Details
  • Job Title: Red Teaming | Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $33.16/hour

What You'll Do
  • Interact with generative AI models using project-provided guidelines, safety taxonomies, and attack-vector guidance.
  • Create and evaluate prompts designed to test model behavior across safety-related categories.
  • Identify where model responses become unsafe, noncompliant, inconsistent, or otherwise problematic.
  • Document model breakability, effort level, point of failure, and relevant category alignment.
  • Review text, image, audio, video, or other multimodal content as required by the workflow.
  • Apply detailed guidelines consistently across short, high-volume production sprints.
  • Use sound judgment to evaluate ambiguous, edge-case, or policy-sensitive outputs.
  • Conduct self-review to ensure work is accurate, complete, and aligned with project expectations.
  • Flag unclear guidelines, tooling issues, or recurring model behavior patterns.
  • Participate in calibration, feedback, and quality review sessions to improve consistency.
  • Maintain readiness to pivot quickly between different red teaming runs when active work is launched.

Requirements:
  • Native-level or near-native English proficiency with excellent written communication skills.
  • Strong creative writing ability and comfort constructing varied prompts.
  • Work Authorization is required for the role.
  • Experience with red teaming, safety data annotation, content evaluation, safety review, content moderation, QA, or AI model evaluation preferred.
  • Strong attention to detail and ability to follow complex project guidelines.
  • Ability to think critically and evaluate open-ended model responses.
  • Comfort working with sensitive, adult, NSFW, or policy-relevant content where required.
  • Interest in generative AI, AI safety, large language models, or emerging AI technologies.
  • Ability to work quickly and accurately during short production windows.
  • Bachelor's degree or equivalent practical experience preferred.

Ways to Stand Out from the Crowd
  • Background in creative writing, English, linguistics, journalism, communications, policy, trust and safety, or content moderation.
  • Experience evaluating generative AI prompts and responses.
  • Familiarity with AI safety, red teaming, jailbreak testing, RLHF, or model evaluation workflows.
  • Experience working with safety taxonomies, policy guidelines, evaluation rubrics, or defect categories.
  • Prior experience reviewing sensitive, adult, NSFW, or policy-relevant content in a professional setting.
  • Experience with multimodal AI workflows involving text, image, audio, or video.
  • QA/testing experience within AI, data operations, content review, or annotation environments.
  • Ability to explain a repeatable approach for staying consistent during high-volume, judgment-based work.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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