QA/Red Teaming Expert

3 semanas atrás

Brazil Innodata Inc. Tempo inteiro

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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