Top AI Ethics Jobs in Chicago, IL

Lead evaluation, governance, and scaling of applied AI and workflow automation across the enterprise. Partner with business and technical teams to prioritize opportunities, support business cases, drive adoption and literacy initiatives, develop communications, track roadmap and outcomes, and support responsible AI, privacy, security, and compliance alignment.

Provide legal advice and governance for firm-wide AI initiatives, partnering with IT, security, procurement, and business teams. Advise on data use, privacy, IP, confidentiality, vendor contracts, and regulatory developments; develop policies, training, and standards to enable responsible AI adoption and mitigate operational, legal, and reputational risk.

Co-lead a new 10-week AI safety replication program: select replication targets, mentor fellows, take technical ownership of replications, set publication standards, represent the program externally, and support fundraising and long-term planning. Work includes experimental design, review, writing, and coordination with XLab operations.

Lead firmwide AI enablement by setting strategy and roadmap, designing multi-level training, running an AI champion community, producing adoption analytics, shaping governance, evaluating tools and vendors, and managing stakeholders and a small team to drive responsible AI adoption and measurable business impact.

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 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.

Review, evaluate, and annotate AI-generated text, images, audio, and video; perform quality checks for accuracy and guideline compliance; identify edge cases and inconsistencies; contribute to dataset creation and calibration; provide feedback to improve annotation workflows and guidelines.

Evaluate AI-generated responses for personalization and relevance using your primary Gmail account. Review prompts and responses in English and Korean, identify incorrect personalization or unsupported assumptions, compare multiple responses, and provide clear, structured feedback while maintaining confidentiality and following project guidelines.

Evaluate AI-generated responses for business users using your corporate Gmail history. Assess relevance, personalization, accuracy, and helpfulness; compare responses, identify personalization errors, provide detailed feedback, follow guidelines, and protect data privacy while working remotely.

Evaluate AI-generated responses for business users by comparing outputs against professional email history, assessing relevance, accuracy, personalization, and providing detailed feedback to improve models while maintaining data privacy.

Senior client-facing advisor who defines AI adoption strategy, leads executive workshops, develops AI roadmaps and business cases, and ensures alignment from strategy to implementation. Partners with sales, architects, and delivery teams to drive responsible AI, governance, data readiness, and measurable value realization.

Lead design and execution of an enterprise AI literacy program: set roadmap and metrics, build proficiency frameworks, create scalable learning experiences, embed Responsible AI governance, partner cross-functionally, track adoption, support certification, and represent the program externally.