Top AI Ethics Jobs in Seattle, WA

Lead a team that builds a frictionless enterprise AI intake, enablement, and governance experience. Design self-service standards, streamline routing and adoption, remove blockers, form cross-functional partnerships, mentor staff, and present executive-level findings to accelerate safe AI deployment across the company.

Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.

Design and deliver custom AI-driven legal workflows, implement and scale post-sales solutions, define KPIs and success metrics, inform product strategy, partner with Customer Success to demonstrate ROI, and maintain objective, ethics-compliant processes and playbooks for plaintiff law firms.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

Lead ownership of reliability, evaluation, and safety for an AI copilot in a trading platform. Build eval systems, benchmarks, automated quality gates, monitoring, and model improvement loops; partner with engineering and product to define safe tool contracts and ensure predictable, auditable assistant behavior in trading workflows.

Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Evaluates English-to-Turkish machine-translated and AI-generated software content for accuracy, fluency, terminology, formatting, and usability. Identifies translation errors, validates localization against style guides and terminology, reviews UI strings and technical documentation, and provides feedback to improve MT and LLM output quality. Collaborates with localization managers and project teams as a freelance linguist on remote technology projects.

Develops product risk assessment frameworks and leads safety reviews for new AI features. Evaluates technical and nontechnical harms, misuse, unintended consequences, and harmful outputs; collaborates with product, engineering, legal, policy, and safeguards stakeholders to design mitigations. Creates bespoke evaluations, develops responsible AI policy recommendations, tracks emerging risks, prioritizes safety resources, and reports product policy risks and mitigations to senior leadership.

Manage and operationalize Responsible AI (RAI) programs across product and model development, automate RAI processes, coordinate cross-functional reviews (legal, privacy, research, design), perform RAI reviews, and drive RAI operational excellence and community engagement to ensure safe, compliant deployments.