About the Role: We are seeking a highly qualified Senior Machine Learning and Natural Language Processing Engineer with deep expertise in sentence parsing, contextual understanding, categorization, and language extraction to support and advance Sybal’s Proof of Governance® (PoG™) platform. This role blends advanced NLP engineering, full-stack development, and enterprise-grade deployment. You will design custom NLP models, build scalable AI-driven services, and deploy production-ready applications that transform raw policy and technical language into structured governance intelligence. You must be a senior-level full-stack engineer proficient in Python, Django, JavaScript, HTML, and CSS, with the ability to dockerize and deploy applications into production environments. Experience commercializing enterprise AI applications is required. You should also be familiar with using agentic AI tools in a development context—for debugging, workflow acceleration, rapid prototyping, and improving engineering efficiency. ________________________________________ Key Responsibilities: NLP & Machine Learning Engineering: • Build advanced NLP models for sentence parsing, context detection, semantic analysis, entity extraction, and policy language interpretation. • Develop hybrid ML + rule-based systems that support governance modeling and policy decomposition. • Create pipelines for text ingestion, annotation, categorization, and structured language extraction. • Design evaluation frameworks for accuracy, drift, reliability, and linguistic precision. • Research and implement non-LLM NLP methods relevant to governance and policy analysis. Full-Stack Engineering: • Develop production-ready applications using Python (spaCy, NLTK, TensorFlow, or PyTorch to build and optimize NLP models), Django, JavaScript, HTML, CSS, and modern tooling. • Further develop NLP models for PoG™ Feature enhancements. • Develop and maintain secure, scalable REST APIs and backend services. • Integrate ML components seamlessly into PoG™’s architecture. Production Deployment & DevOps: • Dockerize machine learning pipelines and full-stack applications for uniform deployment. • Deploy and manage services in cloud production environments (AWS, GCP, or Azure). • Set up CI/CD pipelines, monitoring, observability, and scalable containerized processes. • Ensure production performance, uptime, and system reliability. AI Automation for Engineering Efficiency: • Use agentic AI tools to assist with debugging, test generation, workload orchestration, and internal development workflows. • Integrate AI-assisted coding tools responsibly into engineering processes. Contribute to the Proof of Governance® Platform: • Build NLP and ML components that strengthen PoG™’s ability to: • Map policy language into structured governance data • Detect enforceability gaps • Identify policy dependencies and contextual interactions • Deliver measurable, enforceable governance intelligence • Collaborate with PoG™ architects to extend platform intelligence across governance domains. ________________________________________ Qualifications: Required Skills & Experience: • 6–10+ years of software engineering experience with specialization in ML and NLP. • Mastery of sentence parsing, syntax/semantic analysis, dependency modeling, and contextual extraction. • Proven experience commercializing enterprise AI or ML-driven applications. • Proficiency in: o Python o Django o JavaScript o HTML / CSS • Demonstrated ability to dockerize applications and deploy them into production. • Strong understanding of ML architecture, data modeling, distributed systems, and backend engineering. • Experience using agentic AI tools for engineering workflows (debugging, code analysis, test generation). • Strong cloud engineering experience (AWS, GCP, Azure). Preferred Qualifications: • Background in computational linguistics or structured policy analysis. • Experience with ontologies, taxonomies, or governance modeling. • Prior work in regulated, audit-heavy, or mission-critical environments. • Contributions to high-scale enterprise software platforms. ________________________________________ Who You Are: • You excel in both advanced NLP engineering and full-stack software development. • You can design systems end-to-end—from custom algorithms through front-end integration to production deployment. • You understand how to use AI to accelerate development processes. • You are driven by building systems that transform governance from assumption to measurable, enforceable proof. • You are excited to contribute to the continuous evolution of PoG™

# AI & Automation Architect for Creator Business (Content, Digital Products, Customer Journey & Growth Systems) **Budget:** $100–$150/hour (based on experience) **Initial Engagement:** 4-hour live working session **Date:** Monday, June 29, 2026 **Time:** 1:00 PM–5:00 PM EST **Location:** Remote (Zoom) ### IMPORTANT To confirm you've read this posting, start your proposal with: **Pocket Palette** Applications that do not include this phrase will not be considered. --- ## About Me I am the founder of What Kate Covets, a growing Seasonal Color Analysis business that combines personalized color consulting, digital products, affiliate recommendations, events, and content creation. My business is growing quickly, and I am looking for a highly experienced AI and automation consultant who can help me build scalable systems that improve customer experience, streamline operations, increase revenue opportunities, and reduce manual work. This is not a virtual assistant role. I am looking for a strategic thinker and hands-on builder who can help design and implement practical solutions. There is potential for ongoing consulting and implementation work after this initial engagement. --- ## What I Want to Accomplish I am looking for someone who can help me build the operational foundation of my business so that growth does not require a proportional increase in manual work. ### 1. Launch and Scale My Digital Pocket Palettes I have created a Digital Pocket Palette product and need help creating, organizing, and launching versions for all seasonal color palettes. Desired outcomes: * Create and organize all seasonal versions * Establish a repeatable process for future updates * Upload and configure products on my website * Set up payment and delivery workflows * Create a seamless customer purchase and access experience * Ensure products are ready to sell and scale ### 2. Automate Lead Generation and Booking I want to reduce the amount of time spent manually managing inquiries and appointments. Desired outcomes: * Streamline lead capture * Improve inquiry management * Automate appointment scheduling where appropriate * Improve conversion from inquiry to booked consultation * Reduce administrative work ### 3. Automate the Client Journey After Their Analysis I currently provide significant value after a client receives their color analysis and want to create a more scalable experience. Desired outcomes: * Automated follow-up workflows * Delivery of resources and recommendations * Review request automation * Upsell opportunities * Long-term client engagement ### 4. Create a Scalable Recommendation System One of the biggest opportunities in my business is helping clients discover products that work for their season. I would like to explore solutions such as: * Digital Pocket Palette integrations * ShopMy collections * Seasonal shopping guides * AI-powered recommendation systems * Affiliate product recommendations * Personalized product discovery experiences I am looking for someone who can help determine the best solution and roadmap. ### 5. Create a Centralized Recommendation Database I want to stop managing recommendations across multiple platforms. I'd like help designing a system where products, affiliate links, seasonal recommendations, content assets, and customer resources can live in one centralized location and be used across: * ShopMy * Linktree * Instagram * My website * Digital Pocket Palettes * Future AI-powered tools ### 6. Create a Seamless Content Creation & Publishing Workflow Content is a major part of my business, but the process is currently too manual. I want help creating a content engine that allows me to consistently create and publish content with less effort. Desired outcomes: * Create a repeatable content workflow * Organize content ideas and assets * Streamline content creation and publishing * Reduce time spent creating captions, recommendations, and posts * Repurpose content across multiple formats and channels * Improve affiliate content workflows * Explore AI-assisted content creation systems * Create a clear process from idea → creation → publishing → engagement --- ## Current Platforms & Tools My business currently uses a combination of: * ChatGPT * Claude * Google Workspace * Instagram * Meta Business Suite * Linktree * ShopMy * Canva * Squarespace * Stripe Experience with the following is a plus: * Zapier * Make * n8n * Vercel * Airtable * Notion * AI agents * Custom GPTs * Knowledge bases * Workflow automation tools --- ## Deliverables At the end of our engagement, I would like: * A prioritized roadmap of opportunities * Identification of quick wins and longer-term projects * Recommended systems and tech stack improvements * At least 2–3 automation workflows mapped or implemented * Recommendations for scaling Digital Pocket Palettes * Recommendations for scalable recommendation systems * Documentation and next steps --- ## Ideal Candidate You: * Are fluent in English * Have extensive experience with AI tools and workflow automation * Have built systems for creators, consultants, coaches, agencies, or small businesses * Can work collaboratively in real time via Zoom * Are both strategic and technical * Can implement solutions, not just advise * Stay current with emerging AI tools and best practices Bonus points if you have experience with: * Affiliate marketing * Creator businesses * Personal brands * Digital products * AI agents * Customer journey automation * Knowledge management systems --- ## To Apply Please include: 1. A brief overview of your AI and automation experience 2. Examples of workflows or automations you've personally built 3. Experience with ChatGPT, Claude, Zapier, Make, n8n, Vercel, Airtable, Notion, or similar platforms 4. Experience working with creators, consultants, coaches, or personal brands 5. Confirmation that you are available Monday, June 29 from 1 PM–5 PM EST 6. A 3–5 minute Loom video walking through a workflow or automation you've built 7. What you believe would be the highest-impact automation opportunity for my business based on this posting Potential for ongoing consulting and implementation work for the right person.

Guardian Senior Solutions GoHighLevel + Retell AI Build — Job Posting & Scope of Work Posted by: Paul · Guardian Senior Solutions (GSS) Orange County, California — remote contractor accepted Project overview Guardian Senior Solutions (GSS) is a direct-to-consumer senior care navigation platform in Orange County, California. We are a conflict-free alternative to referral platforms like A Place for Mom — we coordinate care, legal, financial, and home equity needs for senior families rather than operating as a care provider ourselves. We need a GoHighLevel (GHL) build that automates our lead-to-appointment pipeline end to end: from the moment a lead comes in (web form, paid ad, social DM, referral) through AI-driven outreach (voice via Retell AI, SMS, email) to a booked assessment appointment with one of our case managers, by phone or in person. This is a real-time-sensitive use case — families reaching out are often in or near a care crisis, so speed and reliability of follow-up directly affects whether we can help them. What success looks like • A lead that fills out a form, comments on a social post, or calls in gets a response within 5 minutes, every time, with no silent failures. • Qualified leads are automatically routed into a clear pipeline and booked onto a case manager's calendar without manual intervention. • We can see, in one dashboard, exactly where every lead is and whether any have gone stale. • The system is documented well enough that we are not permanently dependent on the person who built it. Scope of work 1. Core GHL architecture • Build a 6-stage lead pipeline: New Lead → Contacted → Nurturing → Appointment Booked → Consultation Complete → Not Ready / Lost. • Configure custom fields: care urgency (1–5), who care is for (self / parent / spouse), homeowner Y/N, estimated home value, legal documents in place Y/N, lead source. • Set up lead source tagging across all channels: Google Ads, Meta Ads, organic/social, referral partner (by name), direct, and any purchased lead lists. • Build a reporting dashboard tracking: leads by source, speed-to-contact, appointment conversion rate, show rate, and pipeline value by stage. 2. Retell AI voice integration • Integrate Retell AI with GHL so that a new lead triggers an outbound AI voice call within 5 minutes of form submission. • Build fallback logic: if the call is not answered, automatically fall back to SMS rather than silently dropping the lead. • Configure the call outcome (answered / voicemail / booked / declined) to write back into the GHL contact record and move the pipeline stage accordingly. • Work with us to finalize the AI voice script and qualifying questions (we have a draft framework already). 3. Lead nurture automation • Build the speed-to-lead workflow: AI call + SMS on form submit, second call attempt at 1 hour, email at 2 hours, manual task created for a human follow-up at 24 hours if still unresponsive. • Build a 21-day nurture drip for leads not yet ready to book, mixing educational email content with SMS check-ins (content outline will be provided). • Build appointment confirmation and reminder sequences (instant confirmation, 24-hour reminder, 1-hour reminder) via email and SMS. • Build a post-consultation follow-up sequence including a same-day summary, a 3-day check-in, and a 7-day review request (conditional on a positive-outcome tag). 4. Social + email content engine • Set up GHL's Social Planner across Facebook, Instagram, LinkedIn, and TikTok with an approval workflow so content is AI-drafted but human-approved before publishing. • Set up a weekly email campaign workflow: AI-assisted draft, human approval step, then send. • Connect inbound engagement (Facebook/Instagram DMs and comments, web chat, SMS, email replies) to GHL Conversations and route qualified leads into the Conversation AI for qualification. • Flag clearly in writing if TikTok DM-to-CRM integration is not currently supported natively by GHL, and propose a workaround if one exists. 5. Appointment booking & case manager routing • Integrate calendar booking (Calendly or GHL's native calendar) so qualified leads can be booked directly onto the correct case manager's calendar, distinguishing between phone and in-person assessment appointment types. • Build routing logic if we have more than one case manager (e.g., by territory, availability, or caseload). 6. Reliability, testing, and handoff • Idempotency checks so a lead submitting twice, or a webhook firing twice, does not trigger duplicate calls or duplicate pipeline entries. • A staging/test mode so new or modified workflows are tested with dummy leads before going live. • Monitoring or alerting so we are notified if a workflow breaks or a lead has gone untouched for more than 2 hours. • Full written documentation of every workflow, automation, and integration built, in plain language we can hand to a future hire if needed. • A 30-minute live walkthrough/training call upon completion. Requirements • Demonstrated prior experience integrating Retell AI (or a comparable AI voice platform) with GoHighLevel. Please describe your specific integration approach in your application — this is the single most important qualifier for this role. • Strong working knowledge of GHL workflows, pipelines, Conversations, Social Planner, and custom fields. • Experience with webhook-based integrations and basic error handling / fallback logic. • Prior experience in healthcare, home services, senior care, or another high-urgency, high-trust service business is a strong plus. • Clear, responsive communication — we will be working closely together through build and testing. How to apply 1. Confirm you have integrated Retell AI (or similar) with GoHighLevel before, and briefly describe how you approached it. 2. Share 1–2 examples of GHL builds you've done for service businesses, ideally with multi-channel lead nurture. 3. Provide your estimated timeline and a flat-fee quote for the full scope above (we prefer fixed pricing over hourly for this project). 4. Let us know your availability to start. We have a detailed internal spec (pipeline stages, message templates, and workflow logic) ready to share with serious candidates upon request.

Hi We are looking for someone who is expert in Replit/Lovable to for 3 week series of workshops of app building. We are looking for someone who can enjoy imparting knowledge to kids worldwide and align with our vision of giving a level playing field to all kids around the globe. We believe most kids are being shelled by their ecosystem, and we have to expose them to the world. We are looking for someone who can enjoy the process, enjoy working with young brains and can make the workshops fun learning. If this is something you can enjoy. Let's talk. Best Sam

We are a growing construction law firm seeking an experienced AI strategist and solutions architect to advise our AI Council and help us identify, prioritize, and build practical AI solutions that improve productivity, reduce administrative burden, and enhance legal workflows. This is not a purely advisory role and it is not a traditional developer position. We are looking for someone who can help us evaluate opportunities, recommend technology solutions, perform build-versus-buy analyses, and then assist in building approved AI agents, workflows, and automations. Our initial focus is internal productivity and workflow improvement rather than client-facing applications. ABOUT US: We are a boutique construction law firm with attorneys and staff across multiple states. We have an active AI Council and are committed to thoughtful, practical adoption of generative AI. Current technology stack includes: * Microsoft 365 Copilot * Microsoft Teams * SharePoint * NetDocuments * Centerbase * Lexis Protégé Available: * Microsoft Power Platform * Power Automate * Copilot Studio * Power BI WHAT WE NEED: We are seeking a long-term advisor who can serve both in an advisory and developmental role: Strategic Advisory * Evaluate AI use cases submitted by our AI Council * Recommend practical implementation approaches * Perform build-versus-buy analyses * Evaluate AI vendors and emerging technologies * Advise on legal-industry AI trends and best practices * Help establish governance and implementation standards Solution Design & Development * Design AI agents and workflow automations * Build approved solutions within the Microsoft ecosystem * Create proof-of-concepts and pilot programs * Integrate solutions with existing firm systems where appropriate * Assist with testing, refinement, and deployment Initial Project Focus: Our first major initiative will likely involve evaluating whether we can replace or replicate portions of commercial contract review software through an internally developed solution. We are particularly interested in exploring: * Contract review workflows * Clause analysis * Risk identification * Contract summaries * Knowledge management integration IDEAL QUALIFICATIONS * Experience working with law firms, legal departments, or legal technology companies * Experience implementing generative AI solutions in professional services environments * Deep understanding of Microsoft Copilot ecosystem * Experience with Copilot Studio, Power Platform, and workflow automation * Ability to communicate effectively with attorneys and non-technical stakeholders REQUIRED * Experience designing and implementing AI agents or workflow automations * Ability to evaluate business requirements and recommend appropriate solutions * Strong understanding of current generative AI tools and trends * Ability to translate strategy into practical implementation Please provide a cover letter with your qualifications and answers to the following questions: 1. Describe a law firm or legal department AI project you personally led. 2. What is your experience with Microsoft Copilot, Copilot Studio, Power Platform, and Power Automate? 3. Describe a build-versus-buy recommendation you made and the factors considered. 4. If asked to replicate a significant portion of a contract review platform internally, how would you approach the project? 5. How do you measure ROI and success for AI implementations? We are looking for a practical advisor and builder who can help us make sound decisions, avoid unnecessary spending, and implement solutions that deliver measurable value.

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 30-year, family-owned home improvement company in Michigan. We run a modern but disconnected software stack and we're looking for a developer to connect the pieces, automate manual work, and build reporting that actually gets used. This is project-based contract work to start, with steady ongoing work for the right person. Not a full-time role. What you'd be working on: Our tools don't talk to each other and too much still runs on manual data entry and spreadsheets. We want someone who can look at a workflow, find the bottleneck, and build the fix. Examples of projects on our list: Replace an antiquated Google Sheets scheduling system with something modern and connected Build and maintain integrations between our core tools (CRM, call tracking, phone, accounting) Build BI and reporting dashboards that pull from multiple sources into one clear view Automate manual data entry, lead routing, and reporting tasks Set up AI-assisted tooling where it makes sense (call summaries, automated reporting, data cleanup) Our stack: JobNimbus (CRM, system of record) CallRail (call tracking, ~50 numbers) RingCentral (phone) Rilla (sales conversation analysis) QuickBooks (accounting) Google Ads and Facebook Ads Google Sheets / Google Workspace You should have: Strong experience with API integrations and connecting SaaS tools (Zapier/Make is fine for some of it, but we want someone who can write custom code when the no-code tools fall short) Experience building reporting dashboards or BI tools Comfort with one or more CRM platforms (JobNimbus experience is a big plus) Ability to scope a problem, propose a solution, and ship it without heavy hand-holding Clear written communication and the ability to explain technical work to non-technical people Nice to have: Experience with JobNimbus, CallRail, RingCentral, or QuickBooks specifically Experience building AI-assisted workflows (LLM-based summaries, data extraction, etc.) Experience in home services, construction, or contracting businesses

We're building a confidential, AI-native operating system for high-volume plaintiff-side litigation. This is not a generic legal chatbot. It's an operating system for litigation operations — and we already have a live law firm as the proving ground, a working visual prototype, a pitch deck, and a near-term demo deadline. We need a senior full-stack engineer who can take an existing prototype, schemas, prompts, and workflow package and turn it into a secure working demo, then a production-track MVP. The right person thinks like a product architect, engineer, and security operator at once — fast, but disciplined with confidential legal data. Required: React/Next.js, TypeScript, Node or Python/FastAPI, PostgreSQL, auth and role-based access control, OpenAI or comparable LLM APIs, structured JSON/schema outputs, secure file handling, PDF/export generation, GitHub workflows, and strong security discipline. Strong plus: Legaltech, plaintiff-side litigation, case management systems (Filevine, Litify, Clio, Salesforce, HighLevel), RAG/document extraction, audit logging, and SOC 2 / PII / regulated-data experience. Ground rules: NDA required. No public repos. No real client data in the demo — sanitized data only. No API keys in browser code. No external sharing or deployment without approval. First deliverable: A build-readiness report identifying what's mock, what's reusable, and what needs rebuilding, plus architecture, security risks, database plan, API integration path, and a 7–30 day build roadmap. The path: Paid 7-day build-readiness sprint → 30-day demo sprint → longer-term technical lead / founding engineer discussion. To apply, please include: A short note on why you're right for this project 2–3 relevant products you've built (links) GitHub or code samples, if available Your availability for a 7-day build-readiness sprint Your hourly rate, fixed sprint price, or contract-to-hire preference Remote acceptable. U.S.-based preferred; South Florida a plus.

**** Agencies are welcome to apply, but put your GenAI solutions architect on the very first interview call. Not a salesperson who then hands off **** We are an AWS partner company focussed solely on Data & AI implementation work. We are specifically looking for a GenAI Solutions Architect to lead pre-sales engagements with customers. Typical duties include: 1/ Executing pre-sales discovery calls with customers 2/ Demoing our proprietary production GenAI demo environments and mapping customer use-cases 3/ Performing deep GenAI assessments and helping provide roadmap for implementation and planning 4/ Compile Statement of Work for customer projects We have a number of tools that will assist in this process to ensure compliance with our patterns and standards. The ideal candidate should have at least 3 yrs of hands on GenAI implementations, understanding of RAG, MCP, bedrock, agentcore experience, strands/langchain experience, and the ability to clearly understand business needs and articulate/map out to technical implementations. Our interview process is unique since this is a LONG running engagement: Step 1: Interview with a technical executive Step 2: Interview with a Sr. technical engineer Step 3: After NDA is signed, train on one of our IP environment (5 hr commitment from your side, but likely faster if you are already familiar with GenAI & AWS) Step 4: Present to a panel on the concept. This is where we evaluate your ability to present what you have learned and earn trust, similar to how you would be doing customer facing.

I run Sdiddi Counseling Center LLC (coachyoussef.com), building websites and AI systems for hypnotherapists and therapists. I have 120 practitioner leads in Los Angeles with names, phone numbers, and websites. Job: Cold call all 120 leads. Qualify interest in a free website demo (homepage + 2 pages, ~24h delivery). Book a 15-minute review call — or if they prefer, set up email or WhatsApp communication instead. Let the lead choose what feels easiest. Pay: $40 flat for the test + 2% commission on every lead that becomes a paying client. What 2% means: My packages start at $2,000. Every client you book who converts = $40 extra in your pocket. Book 3 who convert = $120 bonus. Book 5 = $200 bonus. On top of your $40 base. Scope: All 120 leads. 3-day delivery. I provide: CSV with names, phones, sites, script draft. You provide: All calls completed, daily report, voice sample in proposal. This is a test with real upside. Perform well and this becomes weekly recurring work. For the ongoing partnership, we can and will renegotiate terms — I'm looking for a long-term partner, not a one-off gig. If you prove yourself here, we build together.