Top AI Ethics Jobs in Austin, TX

Serve as the liaison between business units and AI developers: lead discovery, translate business needs into requirements, prioritize use cases, support solution design, drive adoption and change management, measure ROI, and ensure responsible AI governance and compliance.

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.

Evaluate AI outputs, perform audit-based reviews, identify failure modes and trends, apply and refine guidelines, communicate findings, participate in calibrations and stakeholder syncs, and help improve evaluation frameworks for human-in-the-loop AI.

Evaluate AI-generated responses using your personal Gmail account to assess relevance, personalization, accuracy, and helpfulness across English and German. Provide detailed feedback, compare responses, identify incorrect personalization or unsupported assumptions, and follow confidentiality and consent procedures.

Evaluate AI-generated responses for business users using your corporate Gmail history. Assess relevance, accuracy, personalization, and identify incorrect personalization or unsupported assumptions. Compare responses, provide clear, structured feedback, follow evaluation guidelines, and maintain data privacy. Work remotely full-time (4–40 hours/week) with required overlap with PST for a 16-week contract.

Evaluate AI-generated responses for business users by reviewing personalization against your professional Gmail history. Rate relevance, accuracy, helpfulness, and personalization; compare responses; identify incorrect personalization or unsupported assumptions; provide clear, structured feedback while following guidelines and maintaining data privacy.

Provide clinical expertise to improve AI mental-health tools: annotate clinical interactions, evaluate psychotherapy datasets, design psychological testing scenarios, apply CBT frameworks, collaborate with engineers, ensure ethical standards, and drive research-backed AI improvements.

Design and review consulting-style prompts, structured answers, and evaluation criteria to benchmark AI outputs against consulting frameworks. Provide structured feedback on clarity, logic, and business rigor. Conduct online research and synthesize insights to support evaluations and improve model alignment. Work remotely as an independent contractor on a flexible, part-time engagement.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.

Perform human review and annotation tasks to train and evaluate AI: assess prompts and outputs, correct text, analyze multimedia, record voice samples, and provide structured annotations and culturally informed feedback following guidelines.

Remote contractor evaluates and annotates AI-generated content in Albanian: reviews prompts, corrects text, assesses multimedia, records voice, provides structured annotations, ensures cultural appropriateness, and follows QA calibration guidelines.

Lead development and oversight of AI governance frameworks, policies, controls, and risk/compliance practices. Partner with business, delivery, and technical teams to align governance with project delivery, support SDLC-based project governance, recommend improvements, and communicate governance expectations across the organization.

Lead strategy, selection, implementation, and operationalization of data and AI governance tooling. Partner with technology and business teams to integrate platforms for metadata, lineage, quality, privacy, and AI governance. Drive enablement, training, adoption campaigns, KPI tracking, documentation, and ongoing tooling optimization to ensure auditability and compliance.

Lead enterprise adoption of AI by translating strategy into an executable roadmap, building governance and operating models, driving cross-functional program execution, defining success metrics and business cases, and advising executives to ensure responsible, measurable AI impact across clinical and operational domains.