Job Title: AI Red Teaming Specialist
Our team seeks a highly skilled AI Red Teaming Specialist to conduct thorough assessments of large language models.
Key Responsibilities:
* Conduct comprehensive Red Teaming exercises to identify potential risks and vulnerabilities in AI-generated responses.
* Evaluate and stress-test AI prompts across multiple domains to uncover failure modes and areas for improvement.
* Develop and apply test cases to assess accuracy, bias, toxicity, hallucinations, and misuse potential in AI-generated responses.
* Collaborate with data scientists, safety researchers, and prompt engineers to report risks and suggest mitigations.
* Perform manual QA and content validation across model versions to ensure factual consistency, coherence, and guideline adherence.
* Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
* Document findings, edge cases, and vulnerability reports with high clarity and structure.
Requirements:
* Proven experience in AI red teaming, LLM safety testing, or adversarial prompt design.
* Familiarity with prompt engineering, NLP tasks, and ethical considerations in generative AI.
* Strong background in Quality Assurance, content review, or test case development for AI/ML systems.
* Understanding of LLM behavior's, failure modes, and model evaluation metrics.
* Excellent critical thinking, pattern recognition, and analytical writing skills.
* Ability to work independently, follow detailed evaluation protocols, and meet tight deadlines.
Preferred Qualifications:
* Prior work with teams involved in LLM safety initiatives.
* Experience in risk assessment, red team security testing, or AI policy & governance.
A background in linguistics, psychology, or computational ethics is advantageous.
Apply your expertise to drive the development of safer and more reliable AI systems.