Job Title: AI Content Safety Specialist
We are seeking a highly analytical and detail-oriented professional to join our team as an AI Content Safety Specialist.
The ideal candidate will have proven experience in AI red teaming, large language model safety testing, or adversarial prompt design. They will be responsible for conducting rigorous testing and evaluation of AI-generated content to identify vulnerabilities, assess risks, and ensure compliance with safety, ethical, and quality standards.
Key Responsibilities:
* Conduct Red Teaming exercises to identify adversarial outputs from large language models (LLMs).
* Evaluate 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 ensuring factual consistency, coherence, and guideline adherence.
* Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
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, failure modes, and model evaluation metrics.
Preferred Qualifications:
* Prior work with teams like OpenAI, Anthropic, Google DeepMind, or other LLM safety initiatives.
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