About the Role We’re looking for a dynamic AI trainer who can help our teams unlock the full potential of Microsoft 365 Copilot and other AI technology and tools. This is a full-time contract engagement running through March, 2027, focused on driving real adoption, not just awareness, across multiple functional groups and levels of the organization. You’ll design and deliver engaging training sessions (virtual and in-person), surface practical use cases, and build a lasting library of prompts and agents tailored to how our people work. What You’ll Do • Deliver interactive, high-energy training sessions on Microsoft 365 Copilot for teams across the organization, virtually and in-person on-site at various locations across our Beazer footprint. • Tailor content to different functional groups (finance, operations, sales, HR, marketing, construction, etc.), meeting people where they are in their AI journey. • Conduct discovery conversations with teams to identify workflows where MS Copilot and ai technology can save time, reduce friction, or improve output. • Document use cases by function and translate them into a shared, organized library of prompts, templates, and custom Copilot agents. • Partner with internal Learning & Development to align training with broader organizational goals and adoption strategy. • Track adoption metrics and provide periodic recaps on engagement, competency growth, and emerging opportunities. What We’re Looking For • Proven experience training non-technical business users on AI tools – specifically but not limited to Microsoft 365 Copilot (Word, Excel, PowerPoint, Outlook, Teams, and related agents). • A facilitation style that’s engaging, practical, and energizing, not lecture-heavy. • Ability to translate complex AI concepts into clear, actionable guidance for audiences at a variety of skill level. • Experience building prompt libraries, AI playbooks, or similar shared resources. • Comfort working across multiple business functions and adapting quickly to different team needs. • Willingness to travel for in-person sessions. • Strong organizational skills; you’ll be cataloging use cases and maintaining a living resource library. Required • Experience with Microsoft Copilot Studio and building custom agents. Nice to have • Background in change management or organizational adoption strategies. • Familiarity with residential construction, homebuilding, or real estate industries.

We're a growing service company looking for an experienced developer to build a Slack bot that answers employee questions about our HR policies, SOPs, and internal documentation. Team members will tag the bot in a channel, ask a question in plain language, and receive a conversational, accurate answer grounded in our documented materials. **This is a build + teach engagement.** I have no coding background, and a core requirement of this project is that you walk me through your decisions and architecture as you build, so I can understand, maintain, and eventually extend the system myself. If you're a strong developer but don't enjoy explaining your work, this isn't the right fit. ## What You'll Build A production-ready Slack bot with the following architecture: - **Slack integration** using Slack's Bolt framework (Python or Node.js — your recommendation welcome) - **Retrieval-Augmented Generation (RAG)** pipeline: questions are matched against our documentation via semantic search, and relevant context is passed to an LLM for a conversational answer - **Vector database** (Pinecone, Weaviate, or a comparable option you can justify) storing embeddings of our policies, SOPs, and transcripts - **OpenAI API** integration for embeddings and chat completions - **Document ingestion pipeline** that can handle multiple source formats: Word docs, PDFs, spreadsheets, and plain-text transcripts (e.g., exported Loom video transcripts) - **Source citations** in bot answers, so users can see which policy or document the answer came from - Deployment to a cloud environment (AWS, Heroku, Railway, or similar) with clear instructions for how it runs and how to restart or update it ## Technical Requirements You should have demonstrable experience with: - Slack app development (Bolt framework, event subscriptions, OAuth/permissions setup) - OpenAI's API (chat completions and embeddings) - RAG architecture and vector databases (Pinecone, Weaviate, Qdrant, pgvector, or similar) - Python or Node.js backend development - Cloud deployment and basic DevOps (environment variables, API key security, uptime) **In your proposal, please link to or describe at least one similar project you've built** — ideally a Slack bot, a RAG system, or an LLM-powered internal tool. ## Deliverables 1. A working Slack bot deployed to production and connected to our Slack workspace 2. Document ingestion process (with instructions or a simple tool for me to add new documents myself as our documentation grows) 3. Full source code in a repository I own, with clear comments 4. **Written documentation** covering: system architecture, how each component connects, how to add/update documents, how to update API keys, and common troubleshooting steps 5. **Teaching sessions**: recorded screen-share walkthroughs (or live calls) at each major milestone explaining what was built and why — I estimate 3–5 sessions of 30–60 minutes 6. A handoff session at the end where we test the bot together and review maintenance procedures ## Communication & Working Style - Regular progress updates (at minimum, 2x per week) - Willingness to explain decisions in plain English, not just technical jargon - Patience with beginner questions — teaching is part of the paid scope, not a favor - Fluent written and spoken English - Availability for scheduled video calls (please note your time zone in your proposal) ## Scope Notes - Initial document set is modest, but the system should be designed to scale as our documentation library grows significantly - Future phases may include: automatic transcript ingestion from Loom, additional Slack channels/workflows, and analytics on what questions get asked — mention if you have experience with any of these - I will provide: Slack workspace admin access, OpenAI API account, and all documentation to be ingested ## How to Apply In your proposal, please include: 1. A brief description of a similar project you've built (links or screenshots appreciated) 2. Your recommended tech stack for this project and a one-paragraph explanation of why 3. Your approach to the teaching/documentation component 4. Estimated timeline and total cost (fixed price preferred; open to milestone-based payment) 5. Your time zone and general availability Proposals that are clearly personalized and address the teaching component will be prioritized. Generic copy-paste proposals will be declined.

We are a restoration and general contracting company that specializes in helping homeowners recover from property damage caused by storms, fallen trees, floods, fires, wind events, and other disasters. We are seeking an experienced Zapier automation specialist to design, build, and manage an automated marketing and lead generation system that identifies homeowners likely to be impacted by severe weather events and delivers targeted outreach before, during, and after the event. Project Overview We want to create a highly automated workflow that: Monitors weather forecasts, severe weather alerts, storm tracking data, and disaster-related events in specific geographic areas. Identifies homeowners and property owners located within projected impact zones. Obtains and enriches homeowner contact information using approved data sources. Segments leads based on location, weather event type, property characteristics, and severity of risk. Automatically launches multi-channel marketing campaigns before, during, and after the event. Tracks engagement and manages leads through our CRM. Notifies our internal team when high-priority opportunities are identified. Potential Integrations The ideal candidate should be familiar with integrating Zapier with platforms such as: Weather and forecasting APIs CRM systems Google Sheets Airtable HubSpot GoHighLevel Twilio Email marketing platforms SMS marketing platforms Data enrichment and lead-generation services Mapping and geolocation tools Deliverables Complete workflow architecture and automation strategy Zapier implementation and testing Lead capture and enrichment workflows Automated email and SMS campaign triggers CRM integration and lead routing Reporting dashboards and monitoring Documentation for future maintenance Required Experience Please apply only if you have experience with: Advanced Zapier automation Multi-step workflows and conditional logic API integrations CRM automation Lead generation systems Marketing automation Data enrichment platforms Geofencing or location-based marketing workflows Error handling and workflow optimization When Applying, Please Answer the Following Questions: Describe a similar automation system you have built. What weather data providers or APIs have you worked with? What lead enrichment platforms have you integrated with Zapier? Which CRM systems have you automated most extensively? How would you approach identifying homeowners within projected storm impact zones? What challenges do you foresee in building this system? Please provide examples of complex Zapier workflows you have created. Are you comfortable recommending alternative tools if Zapier is not the best solution for a particular component of the workflow? We are looking for someone who can not only build the automation but also help design the overall system architecture and recommend best practices for scalability, reliability, and compliance.