We are seeking an experienced AI Data Mining and Lead Generation Team to help us build and scale two distinct sales verticals through advanced AI prospecting, automation, data enrichment, and lead qualification. This is not a simple list-building project. We are looking for professionals who understand how to leverage modern AI tools, automation platforms, CRM systems, and data intelligence to identify qualified prospects, verify contact information, and create systems that consistently generate meetings and sales opportunities. Our goal is simple: Vertical #1: Custom Apparel Sales Through The Tee Shirt Store, we provide custom apparel solutions for: Schools Sports teams Churches Nonprofits Small businesses Corporate organizations Fundraising campaigns Events and conferences We need qualified buyers actively looking for custom apparel, screen printing, embroidery, promotional products, and branded merchandise. Vertical #2: Youth Entrepreneurship Education Through Education With A Profit, we deliver entrepreneurship education programs designed to help youth develop business, leadership, financial literacy, and entrepreneurial skills. We need introductions and meetings with: Youth organizations Community organizations Workforce development programs Nonprofits serving youth Corporate community outreach departments Foundations and grant-funded programs What We Need You To Build The ideal candidate or team will: AI Lead Generation Systems Develop AI-powered lead sourcing processes Build automated prospect identification workflows Create lead scoring systems Implement contact verification procedures Use data enrichment tools to improve lead quality Reduce manual prospecting through automation Qualified Lead Acquisition For Custom Apparel: Identify decision-makers responsible for apparel purchasing Verify contact information Capture buying signals Prioritize high-intent prospects For Entrepreneurship Education: Identify educational leaders and program decision-makers Locate grant-funded and budget-approved opportunities Identify organizations actively seeking youth programs Build targeted outreach databases Automation & CRM Integration CRM setup and optimization Automated lead routing Follow-up automation Meeting scheduling integration Reporting dashboards Pipeline tracking AI Outreach Optimization Email personalization systems Prospect segmentation Multi-channel outreach workflows Lead nurturing sequences Appointment-setting automation

US-BASED CONTRACT FULL-STACK / AI ENGINEER FOR HEALTHCARE PRODUCT Remote, US-Based Contractor | East Coast Time Required | Home Health AI Product About Scribble Scribble is the top-rated AI platform for home health purpose-built to give clinicians their time back. Home health agencies run on documentation: visit notes, care plans, prior authorizations, compliance paperwork - we help automate these processes. Project Overview We are looking for one or more experienced US-based contractors to help us move faster across several important areas of our product. We need hands-on builders who can scope clearly defined product needs, ask the right questions, and independently deliver high-quality work. This is not a narrow ticket-taking role. We are looking for people who can own meaningful pieces of the product, communicate clearly, work asynchronously, and make steady progress without heavy day-to-day management. Depending on your strengths, the work may focus on mobile, backend, AI workflows, and EMR robotic process automation. You will ideally own end to end development including testing. What We Need Help With • Build and improve visit types and clinical documentation workflows for home health use cases • Improve accuracy of AI-generated outputs, including prompt design, evaluation, testing, and workflow refinements • Integrate completed visits and documentation into EMR systems using APIs where available and robotic process automation where needed • Work across React Native mobile app features, Node.js backend services, OpenAI/LLM workflows, and automated testing • Debug production issues, improve reliability, and help us ship quickly without sacrificing quality • Troubleshoot and fix bugs quickly, and make product improvements based on customer feedback • Translate product requirements into practical technical plans and independently execute against them • Document decisions, provide frequent updates, and proactively flag risks, blockers, and trade-offs • Potentially collaborate with team members across different parts of the roadmap Skills We Are Looking For Required • Advanced use of Claude Code • US-based contractor with East Coast time zone availability required • Strong experience with React Native mobile development • Backend experience with Node.js, APIs, databases, authentication, and production debugging • Hands-on experience with OpenAI or other LLM APIs, prompt engineering, structured outputs, and AI workflow testing • Strong testing mindset, including unit tests, integration tests, regression testing, and quality checks for AI outputs • Ability to work independently from a product goal, break it into technical tasks, and deliver without constant direction • Excellent written and verbal communication; concise updates, clear questions, and proactive status reporting are essential • Speed and quality are both must-haves: we need someone who can move quickly while still shipping reliable, well-tested work • Comfortable working with sensitive healthcare data and following HIPAA-aware, security-conscious development practices Strongly Preferred • Meaningful healthcare experience is strongly preferred, especially in home health, clinical documentation, EMR/EHR workflows, HIPAA-aware development, or regulated healthcare environments Contract Details • Contract role for a US-based independent contractor • US-based candidates only; East Coast time zone availability is required • Part-time or project-based to start, with potential for ongoing work • Minimum availability of 20 hours per week is required • We may hire multiple contractors based on specialty, fit, and availability • Clear deliverables, frequent communication, and fast iteration cycles • Hourly rate or fixed-price milestones can be discussed based on scope and experience • Selected contractors will need to sign appropriate IP assignment, NDA, and Business Associate Agreement documents before accessing sensitive product or healthcare data • We may request and check references before starting a larger engagement

We're hiring 2 experienced developers to build AIOS deployments for our growing client base. FluentOS is a 9-person team that builds AIOS (AI operating systems) that connect a business's existing platforms together and run AI agents on top of them. We're onboarding 6–7 new client projects every week and need two more builders who can take a project and deliver it. The industries we work in: We deploy across a wide range of professional and service businesses, so you'll get variety: - Financial services & wealth advisory - Tax & accounting firms - Dental and medical practices - Home services & roofing - Property management Each client runs on a different stack — CRMs, comms tools, scheduling, payment systems, document and data sources — and our job is to unify those into one system and build agents that operate across them (lead response, follow-up, reporting, document workflows, estimating, intake, and more). What you'd be building: - AIOS deployments end to end — integrating client platforms via their APIs - AI agents that read/write across those connected systems - Reliable, production-grade automations that real businesses depend on daily What we're looking for: - Proven delivery experience — you've shipped projects clients actually use, not just personal experiments - Strong coding background (Python and/or TypeScript); comfortable with API integrations and agent frameworks - Experience with LLM/agent development (Anthropic/Claude, tool use, multi-step agents) is a big plus - Fast, organized, and communicative — we move quickly and build as a team, not in isolation - Able to work closely with Ray, our lead developer, who'll get you ramped into live projects The setup: - 1099 contract, paid per project — not salaried - Steady, scalable volume (6–7 new projects/week) means consistent work for builders who deliver - Strong potential for ongoing, long-term collaboration as we scale To apply: Tell us briefly about a real project you've built and delivered — ideally something involving API integrations, automation, or AI agents. Include links to work or repos if you have them. Please start your reply with the word "FLUENT" so we know you read this. We'll be scheduling interviews shortly.

**Project Overview:** I am looking for an expert developer to build a lightweight desktop stock ticker application (Windows/macOS preferred) where the MAIN focus is high-utility, fully customizable AUDIBLE alerts. I want to monitor the markets by ear without constantly staring at my screen. The app will feature a customizable "Quote Builder" layout running on fast user-defined refresh loops, but the sound engine is the absolute priority of this project. **Core Audio Requirements (The Main Point):** * Event-Driven Sound Profiles: I need to assign distinct, custom text-to-speech (TTS) speeds, pitches, or triggers based on user-defined price movements. * Directional Audio Logic: Distinctly different tone pitches or speech profiles for "Up" ticks versus "Down" ticks so I can instantly hear market direction. * Speech Profiles: A drop-down menu to toggle between "Standard Mode" (reads full labels: "Tesla 100, up 2, bid 99...") and "Pro Mode" (strips all labels for high-speed tracking: "TSLA, 100, up 2, 99..."). * Global Panic Mute: Hitting the Spacebar or a dedicated hotkey must instantly mute/unmute all active audio feedback immediately. * API Key Settings & Data Feeds: The app must use a "Bring Your Own Data Feed" architecture. It must feature a configuration settings screen where users input their personal, API credentials (keys and tokens) to feed data into the ticker. * Brokerage Dropdown Selector: The UI must include a simple drop-down menu allowing users to choose which data provider or brokerage connection to activate (e.g., [Dropdown: Alpaca Markets, Polygon.io, Interactive Brokers, Yahoo Finance]). The developer must build modular data adapters for these connections. **Data & Interface Requirements:** * Custom Quote Builder: Ability to save layout templates choosing from fields like Symbol, Last Price, Up/Down, Bid/Ask Size, Day High/Low, Open, and Close. * Fast Polling Loops: Drop-down selector for data intervals per ticker: 1 second, 5 seconds, 30 seconds, 1 minute, or 5 minutes. * Multi-Monitor Support: Global hotkeys to switch saved templates instantly without needing the app window to be in active focus. * Ticker Looping: Supports inputting a single ticker or a comma-separated list to cycle through multiple stocks on the interval loop. **Budget & Contract Setup:** * Contract Type: Fixed-Price * Total Project Budget: $3,000 (To be broken into milestones upon signing an NDA) ⚠️ CRITICAL: You must start the very first word of your cover letter/proposal with the word "TICKER" to prove you are a human and not an automated bot. If your proposal does not start with the word "TICKER", it will be instantly declined without review. Please reply by explaining your experience with asynchronous programming, audio-based desktop systems, or handling high-speed financial APIs (like Alpaca or Polygon.io). Selected candidates will be asked to sign an NDA before receiving the full requirements document.

I'm currently using Claude, Google Workspace, App Script and Lambda on AWS to pull data out of an operation software called Fullbay to automate a bunch of different aspects of our business. I'm a former software engineer, but now own a medium sized business in Denver and I want someone to help me continue these efforts. For the most part, these efforts consist of many, but small projects that pull data out of the ops software, push it into a Sql server db, and then compare data across google chat, google email, workspace calendar, hubspot, and fullbay to find specific issues with our staff and workflows and notify and track and report. A lot of cool, quick projects that I need help with. I would strongly prefer someone that lives near commerce city colorado so that they can get to know the business.

# Principal AI Data Platform Architect ## Company Overview We are a fast-growing AI-native firm working with executives, operators, private-markets investors, and enterprise teams to redesign how mission-critical work gets done with AI. We move quickly, care deeply about execution quality, and build practical systems where data, workflows, and AI agents come together in production. Our work often sits inside complex enterprise environments with sensitive private data, messy documents, high-stakes decisions, and strict access controls. We are not building generic dashboards or chatbots. We are building governed operating systems that help people answer important business questions faster, with source trails and permission boundaries intact. ## Opportunity We are looking for a principal-level Data Platform Architect to design and build the governed data spine behind AI-native operating systems for private-markets and enterprise environments. This role is for a senior, hands-on builder who can architect the foundation and ship production-grade systems: ingestion, lakehouse layers, canonical entities, lineage, quality checks, permissions, semantic models, and serving APIs. Outstanding performers may be considered for expanded or longer-term opportunities, including deeper platform ownership. ## Scope of Work - Architect a lakehouse-style data platform across structured and unstructured enterprise sources. - Build ingestion pipelines from SharePoint, Microsoft 365, CRM systems, document repositories, spreadsheets, and financial or operational data feeds. - Design Bronze/Silver/Gold data layers with replayability, lineage, quality checks, and point-in-time correctness. - Create canonical entity models for companies, people, deals, documents, metrics, funds, assets, and relationships. - Implement role-based and attribute-level access controls at the data layer, not just the UI. - Build semantic models and APIs that downstream AI workflows can safely query. - Partner with AI engineers building RAG, extraction agents, and executive command surfaces. - Document architecture, tradeoffs, operating standards, and handoff paths clearly. ## Must-Haves - Expert Python, SQL, and modern data engineering. - Deep experience with Databricks, Snowflake, or comparable lakehouse/data-platform architecture. - Hands-on experience with dbt or comparable transformation frameworks. - Experience building governed enterprise data systems with lineage, quality tests, CI/CD, and observability. - Familiarity with Microsoft Graph, SharePoint, Microsoft 365, or similar enterprise content ingestion. - Experience with entity resolution, master data management, semantic layers, or canonical data modeling. - Strong judgment around sensitive data, access controls, auditability, and reliability. - Ability to personally architect and ship production systems, not just advise. ## Nice-to-Haves - Private equity, private markets, financial services, investment workflows, or enterprise knowledge-management data experience. - Experience with DealCloud, HubSpot, PitchBook, AlphaSense, S&P, fund admin feeds, or similar business-data sources. - Experience with graph databases, vector databases, or RAG-ready data architecture. - Azure, Entra ID, RBAC, row-level security, or regulated-data environments. - Experience turning a client-specific data platform into reusable product infrastructure. ## What We're Looking For in a Person We are looking for a serious enterprise data architect who cares about correctness, lineage, permissions, and reliability. The right person has built real systems with messy data and real users. They know that the hard part is not making a demo work; it is making the data trustworthy, traceable, secure, and useful every day. This person should be senior enough to challenge the architecture, hands-on enough to ship, and clear enough to explain technical tradeoffs to non-technical operators. ## Category **Data Science & Analytics - Data Engineering** ## Screening Questions 1. Describe a governed data platform, lakehouse, or enterprise data architecture you personally designed or built. What were the sources, layers, and serving use cases? 2. What is your hands-on experience with Databricks, Snowflake, Delta Lake, Iceberg, or comparable platforms? 3. Have you built entity-resolution, master-data, or canonical data-model systems? Describe the matching approach and human-review process. --- ## Skills - Data Engineering - Data Architecture - Databricks - Snowflake - SQL - Python - dbt - ETL Pipeline - Data Lake - Microsoft Azure - API Integration - Data Modeling - Data Warehousing - Lakehouse Architecture - Microsoft Graph - SharePoint Integration - Entity Resolution - Master Data Management - Semantic Layer - Data Lineage - RBAC - Private Equity Data