• Building and maintaining internal AI workflows, tools, integration's, and client-specific projects • Documentation and knowledge transfer of new workflows, including training team members • Supporting teams in adopting and using AI tools effectively • Working with platforms such as Claude, Claude Code, Gemini, Zapier, N8N, Asana, Slack, and custom-built solutions • Identifying and implementing practical improvements to how we use AI internally • Staying current on relevant AI news and tools and offering them forward

Role Description We are seeking fluent Kannada speakers to act as evaluators. AI models are now learning to communicate with human-like nuance, and we need fluent speakers to ensure these models understand the depth and nuance of the Kannada language. - Completing side-by-side evaluations of both text and voice snippets. - Assessing how naturally and authentically the AI captures Kannada speech. - Listening to audio clips and identifying how natural the voice sounds. - This is a fast-paced project where your ear for detail directly influences how AI understands human language. Researchers looking for your skills tend to pay between $20-26/hr. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. Qualifications - Fluent Kannada speaker with a strong command of natural, everyday Kannada. - Ability to distinguish subtle differences in accent, tone, and vocal delivery. - Fluent English skills for instruction following and reporting. - High attention to detail; backgrounds in linguistics or translation are a plus. - Access to a quiet environment and good quality headphones/speakers. - A PayPal account to receive payment from our clients. Requirements - Side-by-side evaluation: comparing text and voice snippets to assess quality and authenticity. - Naturalness assessment: listening to AI-generated audio and rating how natural the voice sounds. - Quality control: identifying where the AI's tone or pronunciation feels unnatural or culturally mismatched. - Contextual review: identifying whether intonation matches the cultural context of the conversation. - Data tagging: providing feedback on the naturalness, tone, and authenticity of the audio. Benefits - Chance to influence the AI models of the future using your professional expertise. - Competitive pay rates. - Flexible hours. - Ability to work from home.

Role Description Senior Director, AI Enablement to help shape the next phase of our People reimagination as we move toward an AI-first HR operating model. This leader will build and lead the People-side capability responsible for identifying, designing, governing, and scaling AI-enabled experiences, intelligent workflows, and agentic solutions across the People function. This role sits within the People Digital capability and will serve as the senior leader responsible for translating AI opportunity into practical, responsible, and measurable People outcomes. The role will work across HR COEs, shared services, payroll, People Analytics, Strategy and Operations, Culture, Tech, Legal, Privacy, Risk, and enterprise AI teams to ensure that AI is deployed in ways that improve employee and manager experience, strengthen service delivery, reduce operational friction, and maintain strong controls. This is not a pure technology role and it is not a traditional HRIS role. It requires a leader who can connect business strategy, workflow design, AI opportunity, operating model change, and governance into a coherent People agenda. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities - AI strategy and portfolio leadership - Define and lead the People-side AI strategy in alignment with the broader People reimagination and AI-first HR operating model - Build and manage the People AI use-case portfolio, including prioritization of copilots, agents, intelligent workflows, and AI-enabled service experiences - Identify where AI can create meaningful value for employees, managers, shared services, COEs, and the People leadership team - Establish prioritization criteria based on business impact, feasibility, risk, readiness, and alignment to enterprise strategy - Intelligent workflow and agentic experience design - Lead the design of intelligent workflows that connect employee intent, policy logic, service delivery, and platform execution across the People technology ecosystem - Define how AI-enabled experiences should operate across Eva (internal orchestration layer), MyHR (Oracle HCM), ServiceNow, and related People technologies - Oversee People-side design for conversational flows, prompt intent, escalation logic, guided experiences, and next-best-action capabilities - Ensure workflows are designed to improve self-service, manager-service, shared services efficiency, and end-to-end journey outcomes - Governance, controls, and risk management - Establish and lead the People AI governance model, including risk classification, human-in-the-lead requirements, review gates, and control standards - Partner with Legal, Privacy, Risk, Security, and enterprise AI governance teams to ensure AI-enabled HR solutions are safe, compliant, auditable, and trustworthy - Define clear boundaries for where AI can advise, automate, recommend, escalate, or stop - Ensure People AI use cases are grounded in approved policy, trusted business data, and appropriate knowledge sources - Operating model and cross-functional integration - Serve as the primary People Digital leader for AI across HR COEs, shared services, payroll, People Analytics, and Tech - Partner with Strategy and Operations to translate process intent into intelligent workflows - Partner with Employee Experience / Culture to ensure AI-enabled experiences align to persona needs and experience principles - Partner with shared services to redesign work across agent, human-agent, and human tiers - Partner with Tech on enterprise AI platforms, architecture, integration patterns, security, and reusable technical capabilities - Change, adoption, and value realization - Define what success looks like for People AI initiatives, including experience, productivity, service, risk, and value measures - Partner with adoption and change leaders to support rollout, readiness, communications, and behavior change - Build a measurable value realization model for AI investments across the People function - Monitor adoption, outcomes, feedback, and risk signals to continuously improve the portfolio - Team leadership - Build and lead a high-performing team responsible for AI product leadership, intelligent workflow design, governance, knowledge readiness, and business-side AI enablement - Establish operating rhythms, role clarity, and ways of working across People Digital and partner teams - Develop talent and capability in emerging areas such as prompt and conversation design, intelligent workflow design, AI governance, and HR knowledge architecture - Serve as a thought leader and trusted advisor to senior People and Tech leaders on the future of AI in HR Qualifications - 8+ years of significant leadership experience in HR technology, digital product, workflow design, service transformation, AI enablement, or related fields - Experience leading complex, cross-functional transformation in a large enterprise environment - Experience with AI-enabled product design, intelligent workflows, conversational experiences, copilots, agents, or enterprise automation - Experience working in highly matrixed environments across business, technology, operations, analytics, legal, and risk partners - Solid understanding of HR operating models, shared services, service delivery, and employee / manager journeys - Demonstrated solid executive communication, influence, and change leadership skills - Demonstrated success building business-led digital or AI capabilities, not just supporting them from a technical or project perspective Preferred Qualifications - Experience in a Fortune 500 or similarly complex enterprise environment - Experience with People technology ecosystems that include platforms such as Oracle HCM, ServiceNow, enterprise data and AI platforms, and virtual agent / orchestration tools - Experience designing or governing AI use cases in sensitive or regulated business environments - Experience leading service transformation or shared services enablement programs - Experience establishing AI governance frameworks, human-in-the-loop designs, or model risk controls - Familiarity with workforce data governance, semantic stewardship, and the role of trusted business logic in AI-enabled solutions Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

• Lead the internal AI leverage agenda across QAD by translating company-level productivity goals into a governed, prioritized, and measurable AI transformation roadmap. • Own the overall operating model for internal AI adoption: prioritization, governance, reference architecture coordination, usage controls, value tracking, and execution cadence. • Own the enterprise internal AI leverage roadmap across functions and BUs. • Prioritize use cases based on value, feasibility, functional readiness, data readiness, and risk. • Define the internal AI governance model in partnership with IT, Data, Engineering, InfoSec, Legal, Procurement, and functional leaders. • Establish use-case intake, prioritization, approval, and escalation processes. • Track delivery progress, adoption, productivity impact, financial value, and risks across the AI leverage portfolio. • Lead Functional AI Enablement Leads and AI/Data Integration Engineers.