AI Red Teaming Specialist
We are seeking an analytical professional with experience in AI safety testing and prompt evaluation.
Main Responsibilities:
* Conduct red teaming exercises to identify vulnerabilities in large language models (LLMs).
* Evaluate and stress-test AI prompts across multiple domains to uncover potential failure modes.
* Develop test cases to assess accuracy, bias, toxicity, hallucinations, and misuse potential in AI-generated responses.
* Collaborate with data scientists and safety researchers to report risks and suggest mitigations.
* Perform manual QA and content validation across model versions to ensure factual consistency and coherence.
* Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
* Document findings and vulnerability reports with high clarity and structure.
Required Skills and Qualifications:
* Proven experience in AI red teaming or LLM safety testing.
* 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, failure modes, and model evaluation metrics.
* Excellent critical thinking, pattern recognition, and analytical writing skills.
* Ability to work independently and meet tight deadlines.
Benefits:
* Prior work with teams like Open AI, Google Deepmind, or other LLM safety initiatives is a plus.
* Experience in risk assessment, red team security testing, or AI policy & governance is also beneficial.
Others:
* A background in linguistics, psychology, or computational ethics is a valuable asset.