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# TELECOMMUTE Red Team Tester

- **Company:** Tandym Tech
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Software System Penetration Testing, Cloud Computing, Computer Programming, Machine Learning, Red Team (Cyber Security), Scripting, Large Language Models, Information Technology, Cyber Warfare
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/485a3c6d-29bd-43b8-b53b-e28366b715f7

## About the Role

Minimum 5 years of experience in penetration testing, red team operations, or AI red team work.
*
Bachelor's degree or higher in computer science, information technology, programming, development, artificial intelligence, cybersecurity, or a related field, or equivalent work experience.
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Background in AI red teaming, red teaming, or offensive cyber operations.
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Understanding of artificial intelligence, machine learning, software applications, cloud computing, and networking.
*
Strong communication and stakeholder management skills, with the ability to work effectively across geographies.

Desired Skills:
*
Development experience with coding, scripting, and building products.
*
Experience evaluating or improving automation in security testing workflows.
*
Familiarity with AI security tools and metrics for detection and response.
*
Experience collaborating with security teams and developers on remediation efforts.

## Description

A recognized professional services firm has a great Remote opportunity awaiting a hardworking and versatile Red Team Tester. This role focuses on adversarial testing of AI models, identifying vulnerabilities, and supporting the development of stronger security and evaluation practices., *
Conduct adversarial testing campaigns against AI models, including large language models, multimodal systems, and autonomous agents.
*
Research attack vectors, prompt injection techniques, jailbreaks, and unintended model behaviors.
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Run red team exercises to evaluate model outputs for bias, toxicity, misinformation, and other harmful responses.
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Create adversarial datasets and benchmarks to assess model robustness under different attack conditions.
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Document findings, present vulnerabilities, and recommend remediation actions to security and development stakeholders.


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