The Mission: We are a boutique digital marketing agency pivoting to high-value AI-integrated marketing services. Your goal is to help us productize common marketing workflows into repeatable service packages using AI tools and models that we can sell to our SMB clients. Our focus is social media, SEO/AEO, email marketing, and web dev. Do not apply if your main specialty is lead generation or paid ads. The Tech Stack: You must be a power user of Claude (Projects/Artifacts/Skills), Gemini (Gems), and OpenAI (Custom GPTs). You must have expertise building AI agents to assist with streamlining marketing workflows. We aren't looking for a prompter; we are looking for an architect who understands how to build 'human-in-the-Loop' systems that help streamline marketing. Experience with no-code and low-code platforms such as Bubble.io, Make.com, and Retool.com are highly preferred. The Human Element: We value soft skills, responsiveness, listening, and collaboration. You will be helping us bridge the gap between technical AI capabilities and real-world marketing ROI.

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.

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 are Elite Sites AI, a fast-growing AI-powered website agency that builds high-quality custom websites for local small businesses (plumbers, roofers, landscapers, etc.). We are currently hiring multiple motivated Cold Callers to help us scale rapidly. Your Role: Call fresh, targeted leads that we provide Use our proven script to book qualified meetings with business owners Text me the meeting details (business name, owner name, phone number, email, and preferred time) Focus only on businesses that don’t have a website or have a very poor/old one Before ending the call, tell the owner: “My business partner will attend the meeting with me to show you the custom AI website we built for you.” Compensation: Pure commission-only: $500 per closed sale The website is sold for $7,000 one-time Paid via Upwork milestones after the client pays No base pay, no caps on earnings — the more meetings you book and sales we close, the more you make What We Provide: Fresh, high-quality leads (we handle lead generation) Proven cold calling script A Closer who will attend the meetings and close the deals Training and support Group chat for team communication Requirements: Strong phone presence and ability to book meetings Comfortable with commission-only structure Monday to Friday availability Goal-oriented and consistent Reliable laptop/phone and quiet space for calling We are a new but aggressive agency aiming for high volume (4–5+ sales per day as we grow). If you are hungry, motivated, and ready to make serious money by booking meetings that turn into $500 commissions, we want to hear from you. Please apply with your experience and include a short voice note introducing yourself so we can hear your energy and communication skills. We review applications quickly and move fast with the right people. Let’s build something big together!

Overview Curiel Homes is looking for a highly skilled freelance specialist to help transform our website into a true lead conversion machine. We are a modern real estate and mortgage brand focused on growth, automation, local authority, and scalable systems. We want someone who understands: Real estate lead generation SEO and local search strategy AI integrations and automation Google PPC CRM workflows and follow-up systems Website performance optimization Conversion-focused design This is NOT just a website design project. We are looking for someone strategic who can help build long-term systems and automation that drive leads and conversions. Current Goals We want to improve and/or implement: Website + SEO Neighborhood-focused SEO landing pages Local authority content strategy Faster mobile page speed ADA/screen reader optimization Structured blog strategy based on real search queries Mortgage and down payment assistance pages Google Business Profile integration AI + Automation AI chat follow-up and lead nurturing CRM automation and workflow optimization Retargeting audience setup Review scraping/integration tools (ex: Birdeye.ai) AI-assisted content generation Smart lead capture systems Data + Content Add/edit videos throughout website Fed-related market data integrations Content hub/blog strategy Automated market insights and reporting ideas Ideal Candidate We are looking for someone who has: Experience working with lead-gen businesses Strong understanding of SEO and technical SEO Experience with Google PPC Experience with AI tools and automation Experience integrating CRMs and lead funnels Strong communication and strategic thinking Ability to recommend scalable systems Portfolio of websites or funnels that generated measurable results Bonus if you have experience with: IDX websites Sierra Interactive, Follow Up Boss, KVCore, or similar CRMs AI chat systems Local SEO domination strategies Conversion rate optimization What We Need From You When applying, please include: AI/automation experience What platforms/tools you recommend Your approach to improving conversion rates Estimated timeline Your preferred pricing structure Project Scope We are open to: Hourly consulting Fixed project pricing Ongoing monthly partnership Potential for long-term work if it is a strong fit.

We are seeking an experienced developer to build a Next.js web application with custom AI integration. The ideal candidate will have a strong background in front-end development and AI technologies. Responsibilities include designing and implementing the application's architecture, integrating AI features, and ensuring a seamless user experience. The project requires collaboration with our team to deliver a high-quality solution.

Note: We are a well-funded startup with a very high engineering bar, working alongside senior engineers with experience from leading AI labs. This is a smaller initial paid task, but we pay well for excellent work and there is potential for a much larger collaboration if the fit is strong. Your PRs will be reviewed by strong engineers, so we are looking for someone who takes ownership, thinks clearly, and cares about shipping clean, production-ready code. Please only apply if you can hold yourself to that standard. We are not looking for generic AI-generated output or low-effort execution. # Implement Probabilistic Attribution Between Marketing Website and Electron Desktop App We have a marketing website where users can click to download our Mac desktop app. The app is distributed as a standard Mac DMG and built with Electron. We use PostHog for product analytics, and we also run Google Ads. Users may eventually sign in inside the desktop app through ChatGPT/auth, but many users will first be anonymous. We want to implement a simple first version of attribution that helps us understand which website visitors / ad campaigns / download clicks later become desktop app users. ## Goal Build a lightweight probabilistic matching system that connects: 1. A user visiting the marketing website 2. The same user clicking “Download” for the Mac DMG 3. The desktop app being opened for the first time 4. The user later signing in, when applicable The goal is not perfect identity matching. The goal is good-enough attribution for our current low-volume flow, roughly around 100 download clicks per week. ## What needs to be figured out The developer should determine the best simple implementation for: - Capturing enough information on the marketing website when someone clicks the Mac download button - Capturing enough information from the Electron app on first open - Matching those two events probabilistically on the backend - Passing useful attribution information into PostHog events - Associating the attribution with the authenticated user once the user signs in - Testing that the full flow works end-to-end The likely matching signals are things like timestamp proximity, hashed IP, platform, timezone, language/locale, and other non-invasive browser/app context. The implementation should avoid overcomplicated or privacy-invasive fingerprinting. ## What we should do Implement a simple backend-backed attribution flow: - When someone clicks “Download for Mac” on the website, create a download-attribution record. - Capture campaign data such as UTMs, Google Ads click ID if present, landing page, referrer, and PostHog anonymous/browser ID where available. - When the Electron app first opens, create or retrieve a persistent app install ID. - Send a first-open event from the app to the backend. - Backend attempts to match that first app open to a recent download click. - Store the match with a confidence level such as high/medium/low/unmatched. - Send attribution metadata as properties on relevant PostHog events. - Once the user signs in, connect the app install and attribution record to the authenticated user ID. ## What we should not do in this version We do not want to overbuild this. Do not: - Generate a unique DMG per user - Modify the signed Mac app bundle - Inject tokens into the installer - Implement custom deep links yet - Build a full deterministic attribution system - Use probabilistic matching to permanently merge PostHog user identities - Send raw IP addresses to PostHog - Add invasive browser fingerprinting Probabilistic attribution should be treated as estimated attribution, not as guaranteed user identity. ## Expected deliverables The task is complete when: - The website download flow records download intent and campaign metadata. - The Electron app records first-open/install metadata. - The backend can probabilistically match app first opens to recent website download clicks. - PostHog receives app events with attribution properties when a match exists. - The system links the app install to the authenticated user after sign-in. - There is a way to inspect/debug attribution matches. - The implementation is tested locally or in staging with realistic flows: - normal download → immediate app open - delayed app open - no matching download - multiple download clicks from the same network - user signs in after opening the app ## Important constraint This is a first version. We prefer a simple and maintainable solution that gives us useful attribution data over a complex solution that tries to be perfectly accurate.

Your responsibilities will include: • Setting up and customizing DropCourse (branding, logos, course edits, landing pages). • Managing the course library and selecting profitable niches. • Uploading and scheduling viral content from the 25,000+ video library to grow social media reach. • Connecting payment processors (Stripe, PayPal, etc.). • Handling customer inquiries using the built‑in AI chatbot and manual responses when needed. • Running basic marketing campaigns (social media posting, simple ads, influencer outreach). • Outsourcing any additional tasks as needed (drop servicing model). Ideal Candidate: • Experience with drop servicing, digital marketing, or course platforms. • Strong communication and reliability. • Ability to work independently and deliver results. • Familiarity with Upwork, Fiverr, or other freelancer platforms for outsourcing tasks. Deliverables: • Fully branded DropCourse site ready to sell. • Automated posting schedule for social media. • System for customer support and fulfillment. • Weekly performance updates. To Apply: Send examples of similar work, your plan for launching the business, and your monthly rate.

Work description We are looking for an experienced Java / Spring Boot developer who can help design and build backend applications with AI integration. The ideal candidate should have strong experience in Java-based microservices, REST APIs, cloud deployment, and integrating AI/LLM services into business applications. The work may include building APIs, connecting with AI models, integrating OpenAI/Azure OpenAI/LLM services, creating AI agents or automation workflows, and improving existing backend systems. Responsibilities: Design and develop scalable backend services using Java and Spring Boot. Integrate AI/LLM APIs such as OpenAI, Azure OpenAI, LangChain4j, Semantic Kernel, or similar tools. Build RESTful APIs for AI-powered features. Work with databases, authentication, external APIs, and cloud services. Optimize performance, security, and reliability of backend services. Write clean, maintainable, and well-tested code. Troubleshoot production issues and improve existing applications. Required Skills: Strong experience with Java 8/11/17+ and Spring Boot. Experience with REST APIs, microservices, and JSON. Hands-on experience integrating AI/LLM APIs. Knowledge of prompt engineering, embeddings, RAG, vector databases, or AI agents is a plus. Experience with SQL/NoSQL databases. Familiarity with AWS, Azure, or GCP. Good communication and ability to work independently. Preferred Skills: Azure OpenAI or OpenAI API integration. LangChain4j, Spring AI, or Semantic Kernel experience. Vector DB experience such as Pinecone, Chroma, Weaviate, FAISS, or Azure AI Search. Docker, Kubernetes, CI/CD knowledge. Healthcare, finance, or enterprise application experience is a plus. Project Goal: We need a Java expert who can help us build AI-powered backend features and integrate them into our existing application in a scalable and secure way. To Apply: Please share examples of Java/Spring Boot projects you have worked on, especially any projects involving AI, LLMs, automation, or API integrations.

We are hiring an AI Engineer with strong hands-on experience building and shipping real AI products. Requirement: If you don't have a GitHub profile to share, this role is not a fit. What we’re looking for: • Strong experience in AI/ML engineering • Ability to build, test, and deploy production-ready AI systems • Practical experience working on real-world AI projects To apply: Please share your portfolio, past AI projects, and relevant work samples. Applicants without portfolio will be ignored.