Role Description We're looking for Polish speakers living in the United States to participate in an exciting Google Pixel AI evaluation project. What You'll Do: - Use the Google Pixel as your primary phone during the project. - Spend approximately 10–15 minutes per day using the phone naturally. - Complete the project over 14-21 consecutive days. - Share your feedback to help improve AI technology. Compensation: Receive $250 USD upon successful completion of the project. Qualifications - Must currently reside in the United States. - Comfortable understanding written Polish; speaking is not required. - Able to participate for 14-21 consecutive days. Requirements - Submit your application. - Check your email for your Google Meet invitation. - Attend the virtual enrollment event. - If selected, we'll begin onboarding and ship your Google Pixel device. Benefits - Earn $250 USD. - If you don't have a Google Pixel phone, we'll provide one for you at no cost. Company Description As a global data company, Productive Playhouse “PPH”, is pioneering our approach to language and data services, while incorporating their roots as a production company. - Originally founded as an educational production company. - Expanded rapidly to offer an extensive suite of data services since 2011. - Current offerings include transcription, translation, linguistic analysis, rating, systems testing, localization, field and studio recording, language skill verification, and specialized data handling. - Committed to innovation and enhancing service portfolio to meet evolving client needs. - Proud of our reputation for addressing complex challenges with agility and delivering premium, secure data solutions. Disclaimer: All engagements are contingent upon successful completion of a background screening. Productive Playhouse is an equal opportunity organization headquartered in California and committed to diversity and inclusion across our global workforce.

• Close initial pilot deals with humanoid robotics and AI companies • Define and deliver the data product focused on quality • Run the warehouse capture operation coordinating across teams • Build and lead a senior team setting technical direction and quality bar

• Oversee, influence, and drive execution of large-scale strategic initiatives across Veralto’s Operating Companies • Build PMO, governance, structure and frameworks that ensure programs are delivered on time, on budget, and aligned to business objectives • Support the development of scalable, organization-wide frameworks and delivery models for AI, data, and emerging technology initiatives that drive value and positively impact P&L • Partner with operating company leadership to oversee execution of enterprise-wide strategic initiatives and transformation programs • Ensure programs remain on track across scope, timeline, budget, risks, and business outcomes • Establish governance structures, reporting cadences, and escalation mechanisms • Drive cross-functional alignment across business, IT, operations, and external partners • Partner with consulting firms, SIs, and service providers supporting enterprise initiatives • Support executive review of partner performance and delivery effectiveness • Help catalog and organize enterprise efforts to reduce duplication and identify scalable opportunities • Develop executive-level reporting, dashboards, and strategic updates

Role Description AI is rewriting how software gets built and most organizations are still bolting chatbots onto yesterday's process. We're doing something different. UKi is looking for an AI Workflow Engineer to architect our agentic SDLC from the ground up: - Formalized pipelines where AI agents plan, build, test, review, and ship alongside a core team of skilled senior US-based engineers. - Governance, grounding, and measurement to prove it works. This isn't a research role and it isn't prompt tinkering. You'll be designing the delivery system itself: the workflows, guardrails, and feedback loops that let a high-performing team move dramatically faster without sacrificing the engineering excellence we practice every day. Your work will directly accelerate a mission that matters: delivering workforce readiness to the nation's cyber warfighters. Agentic development is the biggest shift in how software gets built since continuous delivery itself. Very few teams get to design and own that transformation from the ground up, backed by senior engineers who want it to succeed, in service of a mission that protects the people defending the nation. If you've been waiting for the role where AI engineering meets real delivery discipline and real impact, this is it. Qualifications - 2–3+ years of hands-on experience building with AI/LLM systems in production settings. - 2+ years designing and operating agentic workflows and pipelines including multi-step agent orchestration, tool use, evaluation, and governance. - Experience embedded in modern development teams practicing GitOps and CI/CD (required). - Working knowledge of grounded AI patterns: RAG, context engineering, structured outputs, and evaluation/observability for LLM systems. - Solid software engineering fundamentals in JavaScript/TypeScript and/or Python; comfort working in and around our stack (Angular/React frontends on Express web applications). - Genuine alignment with continuous delivery culture: the Allspaw/Hammond, Phoenix Project (Kim) school of small batches, fast feedback, blameless learning, and operational excellence. - A self-starter's bias for action: you see an opportunity to accelerate the team and you build it, measure it, and share it. - Strong communication skills: you can explain an agentic architecture to an engineer and its ROI to an executive. - Must be authorized to work in the United States; role is US-remote. Requirements - Experience with agent frameworks and protocols (e.g., LangGraph/LangMem, Claude Agent SDK, MCP, OpenAI Agents) and AI coding tools (Claude Code, Copilot, Cursor). - Building developer platforms, internal tooling, or platform engineering / DevEx functions. - DORA-style delivery metrics and engineering analytics. - Familiarity with AI governance frameworks (NIST AI RMF) and secure SDLC practices. Benefits - Base salary range: $150,000–$200,000, commensurate with experience, plus benefits. - This range reflects current market rates for mid-level AI/agentic engineering talent in US-remote roles. Company Description Since 1999, Ultimate Knowledge Institute has set the standard for cybersecurity training and readiness for the Department of Defense, federal agencies, and Fortune 500 companies. Today we're delivering a platform that builds and demonstrates true workforce and work-role readiness. Our platform identifies individual expertise gaps and builds adaptive, custom training plans to close those gaps for Federal U.S. Government, Defense, Intelligence Community, State/Local, and commercial customers. You'll be joining a newly forming AI engineering team inside a mature product engineering team, which means real users, real stakes, and a green field for how AI transforms the way we build. Our Tech Environment Angular and React frontends on Express/Node.js web applications, delivered through GitOps and automated CI/CD pipelines. We practice continuous delivery: deploy often, automate everything, learn from every incident. You'll have wide latitude to introduce the agentic tooling and AI infrastructure this mission needs.