Top AI Ethics Jobs in Chicago, IL

Support AI/GenAI risk assessments, evaluate cloud and IT controls, contribute to model governance and documentation, and translate technical design into risk and control implications. Collaborate with engineering, data science, cybersecurity, and audit teams to produce client deliverables and strengthen AI, data, and cloud compliance programs.

Provide legal counsel and governance for enterprise AI adoption, monitor global AI and data privacy regulation, draft and negotiate AI and data contracts, support AI policy development, conduct DPIAs, advise on AI risks (bias, IP, employment), and collaborate with cross-functional teams on compliance, incident response, and training.

As Co-Founder & CPTO, lead technical direction, develop an AI compliance platform, establish an engineering culture, and recruit the founding team, while ensuring product reliability and explainability.

The Director of CX AI will develop and execute the AI roadmap for customer experience, evaluate tools, modernize workflows, and ensure responsible AI use.

The AI Ethicist is responsible for developing and overseeing ethical standards and policies for AI systems within Macmillan Learning. This role involves collaboration with engineering and product teams, conducting impact assessments, and educating internal teams on AI ethics.

Evaluate Spanish-language responses for factual accuracy, identify misinformation or unsupported claims, and provide structured annotations following project guidelines. Maintain high quality, follow evolving instructions, and commit reliably to freelance remote tasks.

The Interaction Intelligence Program Manager leads the deployment of AI capabilities in the contact center, overseeing initiatives, technical oversight, and change management with a focus on ethical AI and stakeholder collaboration.

SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.

Review 30-second autonomous-vehicle sensor feeds, evaluate and edit LLM-generated reasoning, ground entities to scene coordinates, correct driving plans and maneuvers, remove hallucinations, and validate outputs against observed trajectory and U.S. traffic laws under time pressure.

The AI Evals Lead will develop and manage eval benchmarks for AI systems, ensuring effective performance measurement and quality assurance through collaboration with engineering teams and industry partners.