Top AI Ethics Jobs in Chicago, IL

The AI Governance Manager at PwC will lead teams in assessing governance and risk frameworks, mentor junior staff, and enhance project delivery through innovative methodologies. The role involves maintaining compliance standards and building client relationships using advanced analytics and technology resources.

The Principal, AI Governance establishes the AI governance framework, ensuring compliance and ethical AI practices while collaborating with various teams.

The AI Governance Analyst will manage AI risk assessments, maintain AI governance frameworks, and ensure compliance with regulations, while coordinating with stakeholders and producing reports.

The AI Quality Associate evaluates AI outputs for quality, develops benchmarks and rubrics, validates workflows, and collaborates with finance experts to ensure high-quality AI-assisted outputs.

Lead Box's ISO 42001 AIMS certification and build the AIMS program. Plan and execute external audits, assess AI governance and controls, remediate gaps, work cross-functionally across security and compliance frameworks, and communicate compliance posture to stakeholders.

Serve as the subject-matter expert for content and AI governance in a heavily regulated government contracting environment. Establish taxonomies, metadata standards, guardrails, compliance policies, and QA protocols; audit content assets; monitor AI/LLM performance; translate regulatory requirements into operational guidelines; and collaborate cross-functionally on strategic initiatives.

The AI Governance Lead will develop and oversee Ascot's AI governance framework, ensuring compliance and ethical use of AI across various business areas, while coordinating with legal and risk departments.

Lead and execute design and operating effectiveness testing of data and AI governance controls, perform walkthroughs and artifact analysis, identify and document control issues, and provide risk-based advisory support to business and technology partners to improve control design and governance processes.

The AI Workforce Enablement Lead promotes AI adoption within an organization by developing training materials, facilitating hands-on learning, and supporting communities of practice. The role involves gathering feedback and tracking metrics to enhance programs while ensuring compliant AI use.

Review text prompts and AI-generated videos to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Add concise annotations, perform self-QA, participate in calibration, document recurring model failures, and meet throughput and quality targets using structured annotation platforms.