
Qa/Red Teaming Expert
Há 4 dias
Job Description:
We are seeking highly analytical and detail-oriented professionals with hands-on experience in
Red Teaming, Prompt Evaluation , and
AI/LLM Quality Assurance . The ideal candidate will help us rigorously test and evaluate AI-generated content to identify vulnerabilities, assess risks, and ensure compliance with safety, ethical, and quality standards.
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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