Top AI Ethics Jobs in Austin, TX

As a Technical Product Intern, you'll prototype user safety features, conduct competitive analysis, and translate compliance frameworks into product logic, focused on real-time AI enforcement.

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.

The AI Governance & Program Manager will lead AI governance initiatives, ensuring responsible use of AI technologies while collaborating across legal and business functions to implement effective policies and frameworks.

The role involves developing AI strategies, implementing proof-of-concepts, collaborating with business teams, and ensuring compliance with Responsible AI principles.

As Co-Founder & CPTO, you will lead product and engineering efforts for an AI compliance platform, establishing architecture, overseeing AI model training, and promoting explainability. You will engage with customers and aim to achieve $1M ARR in 18 months while building a founding team and culture.

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.

The AI Engineer/Research Scientist will develop explainability and contestability features for AI systems, ensuring outputs are understandable, reliable, and continually improved based on user feedback and evaluations.

The Senior AI Risk Advisor will lead AI risk assessments, develop governance frameworks, evaluate AI vendors, and engage with stakeholders on AI adoption.

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.

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