Top AI Ethics Jobs in Los Angeles, CA

Lead enterprise AI opportunity discovery and architecture across business units, build ROI-driven business cases, evaluate and pilot AI tools and vendors, and partner with Engineering, Security, Legal, and Compliance to scale responsible AI solutions. Drive process discovery, solution design, vendor selection, and change management to translate strategic recommendations into measurable business outcomes.

Lead product strategy and roadmap for enterprise data platforms, BI, analytics, and AI/ML products. Align investments with business priorities, partner with engineering and data teams, ensure governance and responsible AI, measure adoption and business impact, and build and mentor cross-functional product teams to drive platform adoption and value.

The AI Implementation Associate will drive AI adoption across all functions, integrate AI tools into workflows, and manage change. Responsibilities include creating AI agents, tracking performance metrics, and ensuring ethical AI use.

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.

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.

As Director of AI Enablement, you will lead Apogee's AI strategy, managing program operations, cross-functional collaboration, governance, and performance measurement to drive organization-wide AI literacy and adoption.

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 role involves evaluating AI outputs, generating content, providing annotations, and ensuring quality through cultural and contextual awareness.