Cybersecurity Consultant (Remote)
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Key skills for this role
About the Role
We are seeking a Cybersecurity Consultant specializing in LLM red-teaming to work on a contract basis. The role involves identifying vulnerabilities in large language models through adversarial testing, designing red-teaming scenarios, and documenting findings.
Key Skills for This Role
Responsibilities
- Design and implement red teaming strategies to uncover weaknesses in LLM outputs, including bias, toxicity, and factual inaccuracies
- Develop automated and manual testing frameworks to simulate adversarial attacks on AI models
- Document findings in structured reports, highlighting risks and recommending mitigations
- Collaborate with AI safety researchers to refine testing protocols based on emerging threats
- Stay current with advancements in AI security, prompt injection techniques, and jailbreak methodologies
Requirements
- Experience with adversarial testing of LLMs, including prompt engineering and attack simulations
- Proficiency in Python and familiarity with AI/ML frameworks such as Hugging Face or PyTorch
- Knowledge of cybersecurity principles relevant to AI systems
- Ability to analyze model outputs for bias, toxicity, and hallucinations
- Strong written communication skills for documenting vulnerabilities and recommendations
- Familiarity with ethical AI guidelines and responsible AI development practices
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a LLM Red Teamer to work on a contract basis.
- The role involves identifying vulnerabilities and improving the robustness of large language models through adversarial testing.
- Candidates will design and execute red teaming scenarios to probe model behavior under edge cases and malicious inputs.
Key Responsibilities
- Design and implement red teaming strategies to uncover weaknesses in LLM outputs, including bias, toxicity, and factual inaccuracies.
- Develop automated and manual testing frameworks to simulate adversarial attacks on AI models.
- Document findings in structured reports, highlighting risks and recommending mitigations.
- Collaborate with AI safety researchers to refine testing protocols based on emerging threats.
- Stay current with advancements in AI security, prompt injection techniques, and jailbreak methodologies.
Required Skills & Qualifications
- Experience with adversarial testing of LLMs, including prompt engineering and attack simulations.
- Proficiency in Python and familiarity with AI/ML frameworks such as Hugging Face or PyTorch.
- Knowledge of cybersecurity principles, particularly those relevant to AI systems.
- Ability to analyze model outputs for bias, toxicity, and hallucinations.
- Strong written communication skills for documenting vulnerabilities and recommendations.
- Familiarity with ethical AI guidelines and responsible AI development practices.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry.
- The position involves direct impact on model deployment decisions by identifying critical failure modes before public release.
Equal Opportunity Employer
- We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history.
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