Job Overview
We are seeking highly analytical and detail-oriented professionals with hands-on experience in Red Teaming, Prompt Evaluation, and AI/LLM Quality Assurance.
Responsibilities
* Conduct Red Teaming exercises to identify adversarial, harmful, or unsafe outputs from large language models (LLMs).
* Evaluate and stress-test AI prompts across multiple domains (e.g., finance, healthcare, security) 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, safety researchers, and prompt engineers to report risks and suggest mitigations.
* Perform manual QA and content validation across model versions, ensuring 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 behaviors, 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 like OpenAI, Anthropic, Google DeepMind, or other LLM safety initiatives.
* Experience in risk assessment, red team security testing, or AI policy & governance.
* Background in linguistics, psychology, or computational ethics is a plus.
Additional Information
Seniority level: Entry level. Employment type: Full-time. Job function: Marketing, Public Relations, and Writing/Editing. Industries: Business Consulting and Services.
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