The company is seeking AI QA trainers to evaluate and harden the reasoning, reliability, and safety of large-scale language models. Candidates will perform tasks such as hallucination detection, adversarial red-teaming, and designing evaluation rubrics to improve model quality. The ideal applicant has a background in computer science or data science and experience with ML/AI QA frameworks.