QA/Red Teaming Expert

Red Teaming, Prompt Evaluation

Job Title :- Red Teaming, Prompt Evaluation, or AI/LLM Quality Assurance Expert

Key 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 behaviour'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 like Open AI, 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.

Kindly Attempt the below assessment to proceed further with your application.

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