Role Description:
We seek experienced professionals to rigorously evaluate AI-generated content, identify vulnerabilities and assess risks.
Key Responsibilities:
* Conduct Red Teaming exercises to identify adversarial outputs from large language models.
* Evaluate and stress-test AI prompts across multiple domains to uncover potential failure modes.
* Develop and apply 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 ensuring factual consistency and coherence.
* Document findings 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 behaviors and model evaluation metrics.
* Excellent critical thinking and analytical writing skills.
Preferred Qualifications:
* Prior work with teams focused on LLM safety initiatives.
* Experience in risk assessment or AI policy & governance.
A background in linguistics, psychology or computational ethics is beneficial. To proceed further, complete two assessments: the Versant English Proficiency Test and XConnect Registration.