Sphere Inc. is building a new AI-powered SaaS platform for the U.S. healthcare industry. We're looking for a senior engineer who enjoys building products from scratch, making technical decisions, and shipping production-quality software. This is an MVP that will quickly transition into production, so we're looking for someone who is comfortable owning architecture, development, deployment, and AI integration. We're developing a HIPAA-compliant Care Coordination Platform that helps physicians, nurses, and care coordinators manage chronic care patients more efficiently. A patient with diabetes and hypertension visits a primary care clinic. Instead of manually reviewing hundreds of pages of clinical notes, lab results, discharge summaries, and specialist referrals, the provider uploads the patient's records. The AI platform will: - Extract structured medical information from uploaded documents - Generate concise clinical summaries - Highlight medication conflicts and missing follow-ups - Detect abnormal lab trends - Recommend preventive care actions based on clinical guidelines - Generate visit notes and patient-friendly summaries - Allow physicians to approve, edit, or reject AI-generated recommendations - Maintain complete audit trails for HIPAA compliance The system must never expose PHI to unauthorized users and must meet healthcare security best practices. You'll work directly with our founders to design and build the MVP. Responsibilities include: - Design scalable backend architecture - Develop responsive React/Next.js frontend - Build secure REST APIs - Integrate OpenAI, Anthropic, or Azure OpenAI - Implement Retrieval-Augmented Generation (RAG) - Build document ingestion pipelines - Implement vector search - Build role-based access control - Design PostgreSQL database schema - Implement authentication and authorization - Deploy production infrastructure on AWS or Azure - Write automated tests - Optimize AI performance and costs Candidates should understand: - HIPAA Security Rule - PHI handling - Encryption at rest and in transit - Audit logging - Role-based permissions - Secure cloud architecture - Least-privilege access - Secrets management - BAA-aware cloud services Previous healthcare or medical SaaS experience is highly preferred. To Apply Please include the following in your proposal: - Links to recent AI SaaS or healthcare projects - Your GitHub profile - A brief description of your HIPAA or healthcare experience - 5–10 minute Loom video walkthrough of a HIPAA-compliant AI or SaaS project you personally built, highlighting the architecture, technical decisions, and your specific contributions.

Role Overview You are the Executive AI Enablement Lead at AIVC, the person whose job is to make the executives at AIVC’s client businesses true power users of Claude, Cowork, and code- and agent-driven workflows. AIVC partners with operator businesses to drive AI-led EBITDA growth, and part of that work is bringing each company’s most senior leaders up the AI curve. You’re the person who personally designs and runs that path on every engagement: assessing where a given client executive is today; curating the right materials, videos, and course content; running 1:1 coaching; building executive playbooks; and acting as their daily operator-in-the-loop until the new workflows stick. The first concrete instance is already lined up, a named client managing partner has explicitly asked for the fastest path to becoming a power user of Claude, Cowork, and Claude Code / Skills. From there you scale: same treatment to additional client executives across the portfolio, then a documented set of executive-grade playbooks and patterns that compound across every future engagement. You are bias-toward-results – a win is the client executive’s calendar-week looking different, not a beautifully written rubric nobody uses. What You’ll Own (Outcomes) • Within 30 days of pairing with the first client managing partner, they have a working daily routine in Claude, Cowork, and Code/Skills that’s already replacing or improving how they handle at least three recurring tasks • Within the first quarter of the engagement, the client executive is a true power user — running multi-step workflows, custom Skills/Projects, and agent-assisted tasks without needing coaching scaffolding for the basics • A documented set of executive playbooks (research, writing, analysis, synthesis, workflow automation, agent-assisted tasks) that compound across every client engagement, not one-offs • A curated, current library of learning materials, videos, example workflows, and Claude-native patterns — including a clear point of view on which external courses, tutors, or expert resources are worth plugging in • Observable change in how client executive cohorts use AI: from reactive chat to repeatable, structured, outcome-oriented workflows • A foundation of training assets and patterns that scales beyond executive coaching into broader client teams in year two • A reputation among AIVC’s clients as the trusted go-to for “how do I do this better in Claude” — measured by inbound demand and engagement expansion What You’ll Do (Responsibilities) • In the first weeks: build the first client managing partner’s tailored upskilling plan — assess current usage, identify the highest-leverage workflows for their day-to-day, curate the right mix of materials / videos / course content, and recommend any tutor or expert-guided support to fold in • Provide 1:1 coaching for client executives — managing partners, founders, C-suite leaders — on Claude, Cowork, and code- and agent-based workflows • Design tailored training plans per executive that go beyond basic onboarding into advanced usage, with explicit progression from chat → workflows → agents • Curate the best external materials (videos, courses, blog posts, example projects) and rewrap them into client-ready, AIVC-flavored learning paths • Teach practical, high-leverage use cases live: research, writing, analysis, synthesis, workflow automation, and agent-assisted tasks • Help client executives move from general chat usage into repeatable workflows — Claude Projects, Skills, scheduled Cowork tasks, MCP integrations, custom agents • Serve as a real-time tutor and expert resource for client executives — over Slack, in meetings, on-site, and in async written feedback • Run office hours, workshops, and informal Q&A sessions inside client teams to keep adoption sticky between coaching sessions What We’re Looking For (Required) • Deep hands-on expertise with Claude across every surface (Claude.ai, Claude Projects, Claude Code, Claude Skills, Claude API) — and an active habit of pushing the edges of each • Strong working fluency with Claude Cowork specifically, including scheduled tasks, connected apps / MCPs, and the broader workflow surface • Strong capability with code-enabled AI workflows: you can write Python and/or TypeScript, build agents, configure MCP integrations, and ship a working internal automation end-to-end without needing an engineer • Demonstrated ability to teach non-technical but highly demanding users — you’ve made executives, founders, or senior operators meaningfully better at something complicated, not just trained engineers • Strong workflow design instinct — you can translate messy business questions into clean prompts, workflows, and systems • Polished, discreet, and effective in high-touch client executive settings — high EQ, low ego, comfortable representing AIVC inside senior client environments and around senior decision-makers • Strong bias toward practical results over theoretical AI knowledge — the metric is the client executive’s behavior change, not the elegance of the explanation • Excellent written and verbal communication; you can write a playbook a client executive will actually read and use • Comfort with significant travel to client sites and embedded, on-site engagement work • 5+ years of professional experience across some mix of: applied AI / ML, technical training and enablement, developer relations, solutions engineering, executive coaching, management consulting, or chief of staff / senior operator roles to executives Helpful If You Have (Preferred) • Prior experience coaching or supporting C-level executives, founders, or managing partners as a client-facing professional — executive coach, principal solutions engineer to executive customers, chief of staff to a CXO, or partner-level consultant • Background that combines technical depth with people skills — developer relations, solutions engineering, technical training, or learning & development at a frontier AI or developer-tools company • Direct experience building executive-facing training programs or curricula that demonstrably moved adoption inside other organizations • Hands-on familiarity with the Anthropic product surface specifically: Claude Projects, Claude Skills, Claude Code, MCP server development, Claude API • Track record of getting non-technical users to genuinely adopt a technical tool — i.e., users who chose to keep using it after the training ended • Background in management consulting, professional services, executive coaching, or learning & development — especially in environments where the customer was a senior external client • An active personal portfolio of AI work (workflows, automations, blog posts, talks, open-source contributions) you can point to • Comfort building light tooling (a Notion playbook system, a Claude Skills catalog, a small dashboard) without needing engineering support • Familiarity with AIVC’s model — operator business engagements, EBITDA-led measurement, and the broader compounding intelligence layer — or eagerness to come up the curve quickly

We are looking for a strong software engineer who can build practical automation systems using AI, APIs, and modern development tools. This role is for someone who can take messy business workflows, understand the goal, and build working systems that save time, reduce manual work, and improve execution. You should be comfortable building automations, integrating tools, working with APIs, writing clean code, and using AI tools like OpenAI, Claude, or similar models to create useful business applications. What You’ll Work On You will help build and improve systems such as: AI-powered research and data extraction workflows CRM and sales process automations Email, spreadsheet, and database automations Internal tools and dashboards API integrations between business software Web scraping and data enrichment workflows when appropriate AI agents or assistants that help with repetitive business tasks Automation around deal screening, reporting, lead research, and document creation Ideal Candidate We are looking for someone who is practical, fast, and can figure things out without needing step-by-step instructions. You should have experience with: Python and/or JavaScript APIs and webhooks OpenAI, Claude, or other LLM APIs Automation tools like Zapier, Make, n8n, Airtable, Google Sheets, HubSpot, Salesforce, or similar Databases such as PostgreSQL, Supabase, Firebase, or similar Basic front-end or internal tool development Web scraping, data cleaning, and structured data workflows GitHub and clean documentation What Matters Most We do not need someone who only talks about AI. We need someone who can actually build. The right person should be able to: Understand a business process quickly Recommend the simplest technical solution Build fast prototypes Turn prototypes into reliable workflows Communicate clearly Document what was built Improve systems over time Nice to Have Experience with any of the following is a plus: Private equity, M&A, finance, or investment workflows Deal sourcing or lead generation systems CRM automation Data enrichment tools AI research agents Browser automation Cloudflare, AWS, Google Cloud, or similar infrastructure Engagement This will start as a part-time project-based role, with the potential to become ongoing if the work is strong. Estimated workload: 5 to 15 hours per week to start. To Apply Please include: Examples of automations or AI tools you have built The tech stack you usually work with A brief explanation of how you would approach automating a messy manual workflow Your hourly rate Your availability Please do not send a generic application. If your response looks copied and pasted, it will be ignored.

Title: AI Agent System for SaaS Platform (Product Manager, Developer, QA, Marketing Agents) Description: We are building useContractor.ai, a contractor management SaaS platform. We are looking for an experienced AI automation engineer to build a multi-agent system that helps manage, improve, and grow our application. Initial agent ecosystem: Product Manager Agent Reviews user feedback Reviews analytics Prioritizes bugs and features Creates development tasks Developer Agent Reviews GitHub repository Generates code recommendations Creates implementation plans Assists development team QA Agent Tests workflows Identifies bugs Generates bug reports Verifies fixes Executive Reporting Agent Summarizes daily activity Reports bugs, improvements, user trends, and recommendations Requirements: OpenAI or Azure OpenAI n8n or similar orchestration platform GitHub integration Analytics integration (PostHog, Clarity, etc.) Scalable architecture for future agents Future phases: Marketing Agent Customer Support Agent Sales Agent Marketplace Moderation Agent AI Estimating Agent Please provide examples of: AI agents you have built Multi-agent systems SaaS automation projects GitHub/OpenAI integrations

Job description We’re a marina and campground with several core systems that need to work together. We’re modernizing how we run the business and are looking for a skilled automation engineer to help us connect our tools, cut out manual work, and keep everything running smoothly. We’ve adopted Make.com as our automation platform and plan to stay on it unless there’s a compelling reason to switch. We’re primarily looking for strong Make.com expertise, but experienced Zapier engineers are welcome to apply — the platforms are similar enough that deep expertise in either one translates well. This is an ongoing, part-time role. You’ll design, build, and maintain automations across our operations, with steady work for the right person. What you’ll build • Bookings & operations — reservation confirmations, scheduling, and internal alerts • Marketing & CRM — lead capture, email sequences, contact syncing, and review requests • AI chatbot integration — connecting our website assistant to bookings, email, and our knowledge base • General automation — streamlining other workflows across the business as needs come up What we’re looking for • Proven, in-depth expertise in Make.com or Zapier, with a portfolio of complex, real-world workflows • Strong experience with APIs, webhooks, and third-party app integrations • Solid grasp of data mapping, error handling, and building reliable, maintainable scenarios • A clear communicator who can recommend the best approach — not just take orders • Dependable and responsive, since this is an ongoing relationship Engagement & rate • Ongoing, part-time • We’ll start with an initial project, with strong potential for continued work To apply Send a brief note covering which platform you specialize in (Make.com or Zapier) and your experience with it, 2–3 examples of automations you’ve built (links or short descriptions — ideally similar to what’s above), and your weekly availability. Bonus points if you’ve worked with hospitality, booking, or small-business tools.

Forum Intelligence: Project Brief & Initial Rollout 1. Executive Summary & Objective Forum Intelligence is a beginning as a localized data retrieval, processing, and archiving system designed to scrape public municipal records and state legislative data for public oversight. The immediate objective is to build a functional, highly resilient prototype focused on the Tri-Cities region (Burbank, Glendale, and Pasadena, California). The system will autonomously ingest messy, unstructured municipal data (City Council meeting minutes, agendas, public notices, and legislative PDF text, recorded mp4), clean it, and make it fully searchable and queryable via a localized AI agentic framework. 2. Phase 1 Scope: The Tri-Cities Rollout Th engineer will be responsible for building two primary pillars: A. Resilient Scraper Bots • Target Ingestion: Monitor and pull data from Burbank, Glendale, and Pasadena municipal portals and California legislative feeds. • Data Types: Brittle HTML sites, heavily nested tables, public notices, legislative drafts, and massive unstructured PDF archives. • Requirements: The scraping architecture must be exceptionally robust, utilizing intelligent error handling, retry semantics, and pagination tracking to handle frequent municipal website layout changes without breaking the pipeline. B. Ingestion & Vector Pipeline • Parsing: Extracting clean text from poorly formatted documents and scanned PDFs. • Local RAG (Retrieval-Augmented Generation): Chunking and embedding the data locally into a vector database (e.g., pgvector, Chroma, or Milvus) to enable semantically accurate entity linking and contextual search. 3. Targeted Hardware Stack To ensure maximum data security, strict public oversight integrity, and predictable operational costs, Forum Intelligence is skipping commercial cloud APIs in favor of an on-premise, localized NVIDIA enterprise deployment. The production roadmap aligns precisely with the new computing patterns detailed in NVIDIA’s latest hardware roadmap: • Inference & Token Generation: Running local open-weight frontier models (e.g., Neotron 3 Ultra or Claude/Llama equivalents) optimized for reasoning and long-context tool use. • Compute & Orchestration: The backend infrastructure is architected around NVIDIA’s dedicated agentic architecture, utilizing high-instructions-per-clock (IPC) Vera CPUs paired with Vera Rubin GPUs. • Memory & Storage Processing: Utilizing NVIDIA’s unified memory fabric and data processing units (DPUs) for ultra-low latency context management, KV caching, and fast vector database retrieval. 4. Immediate Milestones for the Engineer 1. Architecture Design: Map out the database schema and local inference ingestion loop. 2. Tri-Cities Scraper Deployment: Write and deploy the initial automated bots for Burbank, Glendale, and Pasadena. 3. Local MVP Pipeline: Demonstrate a local RAG pipeline where a user can query the Tri-Cities scraped records and receive grounded answers with exact source attributions. The above was AI generated from months long conversations with Gemini. The goal is to prove the concept then roll out to LA County, state of CA, and then the country.

We are seeking a US-based computer vision and full stack developer to build a platform for sports card recognition. The project includes developing subscription management, dashboards, and user account features. The ideal candidate will have experience creating scalable applications and integrating computer vision capabilities into a user-friendly platform. Hiring: Computer Vision + Full Stack Developer for Sports Card Live Auction Overlay App (SaaS) 📌 Overview I’ve built an MVP of a real-time sports trading card scanning and comping overlay tool using Loveable.dev. The product helps buyers gain an edge during live auctions by instantly identifying cards and showing real-time market comps. Now I’m looking for a U.S.-based developer (or strong US-aligned freelancer) to take this from MVP → production SaaS. This is a subscription-based product, so I need someone who can help build something fast, accurate, scalable, and hard to replicate. 🧠 What the product does Users can: Capture or upload sports trading card images during live auctions (mobile + desktop) Instantly identify: Player Year / set Parallel / serial number Pull live market comps Display a real-time “buy / avoid / fair price” overlay The goal is speed + accuracy in live buying situations (seconds matter). ⚙️ What I already have MVP built in Loveable.dev Basic overlay + UI flow Initial comp logic concept Subscription idea (not yet fully implemented) 🛠️ What I need help building (Phase 1 → Scale) I’m looking for someone to help rebuild and harden the system into a real SaaS product: 1. Computer Vision / OCR Layer Card detection from images (mobile + desktop) OCR extraction (player name, set, serial numbers) Image recognition / matching to known cards Confidence scoring (very important — must avoid wrong matches) 2. Comp Engine (Core Value) Integrate or build system for: eBay sold listings 130point or similar comp sources Card Ladder / ALT-style pricing logic Return: last sale average comp trend direction liquidity estimate 3. Real-Time Overlay System Lightweight overlay that works during live auctions Low latency (fast lookup is critical) Works on mobile + desktop workflows 4. SaaS Infrastructure User accounts + authentication Subscription billing (Stripe) Usage tracking / rate limiting Admin dashboard 5. Scaling / Production Hardening API architecture improvements Database structure Performance optimization for real-time use Error handling for imperfect images 💡 Ideal candidate You should have experience with: Computer vision (OpenCV, YOLO, or similar) OCR pipelines AI image classification or similarity matching Full-stack SaaS development Stripe subscriptions API design (Node.js / Python / Next.js preferred) Huge plus if you have: Sports card / collectibles knowledge Experience with marketplaces or scraping pricing data Real-time / low-latency systems 🎯 Why this is interesting This is not a generic app. It’s: A real-time decision engine for high-value collectibles Built for a passionate, high-spend niche (sports cards) Subscription-based with strong monetization potential Designed for speed advantage in live auctions 📍 Requirements Must be U.S.-based (preferred for communication/time zone alignment) Must be able to work independently Must have strong GitHub/code examples Bonus if you’ve built AI or vision-based SaaS tools before 💰 Budget Open to: Hourly or fixed project 📩 To apply, please include: Relevant CV / GitHub Past AI / computer vision projects Any SaaS or startup experience Your approach to building a real-time image → comp system Availability per week

Summary I'm building Artcade, a patent-pending peer-judged creative skill-gaming platform where people compete in drawing, photo, and writing contests, in 31-player cohorts, for real-money prizes. The mission is simple: incentivize imagination. The whole experience is generally built with AI prototyping. React/TypeScript, every screen from game selection through voting, results, wallet, and compliance. It was built fast and AI-native, and it's production-ish quality. Now I need a founding-level frontend/mobile engineer to help us on the last mile: convert it to a React Native iOS app and get a real build into TestFlight. That's the one thing that matters first. If you've shipped real mobile apps, you obsess over how a touch interface feels, and you're comfortable blending AI dev tools with strong engineering fundamentals, this role is for you. What You'll Do - Convert our React/TypeScript prototype into a React Native iOS app and get it live on TestFlight (the #1 priority. It unblocks everything downstream) - Stand up and manage TestFlight builds through a paced, compliance-gated cadence (build → cert gate → adjust → continue) - Own the drawing canvas end-to-end — multi-tool, touch optimization, responsiveness, performance. It's our signature surface and it has to feel great - Build the core game and voting flows (cohort fill, submission, the gated 5×6 → 5 → 1 voting flow, results) plus wallet, profile, progression, and responsible-gaming screens - Bring a real point of view on animation, transitions, and game feel — not just ship tickets - Use AI dev tools (Claude Code, Codex, similar) to move fast, and help systematize what works - Collaborate directly on product direction — this is a founding seat, not a ticket queue Ideal Candidate Experience - React Native Engineer (5+ years) with shipped mobile apps. - Real apps live on TestFlight / the App Store — React Native and/or native iOS (Swift/SwiftUI), not web-with-a-responsive-layout. - Strong React / TypeScript experience helpful. - UX craft on interactive, canvas, or touch-heavy surfaces. Mobile Expertise - React Native (Expo / bare workflow) and the iOS build + TestFlight pipeline - Touch handling, gesture systems, and 60fps performance on device - Animation depth — Framer Motion, Reanimated, or SwiftUI animation Craft & Canvas - Canvas / graphics / drawing-tool experience (Canvas API, WebGL, custom rendering) - A portfolio piece that's interactive and feels good to use — show us something you made - An eye for game feel, transitions, and micro-interactions AI-Native Builder Profile (Must-Have Mindset) - You've recently vibe-coded and are comfortable with AI dev tools like Claude Code, Codex, Droid - You blend AI output with your own logic and refactors — fluent, not dependent - You think of AI as a collaborator that lets a small team ship like a big one - You love testing new workflows and systematizing what actually works Highly Valuable - Mobile game experience — especially drawing / creative tools / rich touch interaction - Skill gaming, iGaming, or real-money gaming background (Skillz, Big Run, PrizePicks, etc.) - Real-time UX (WebSocket waiting rooms, live game state) - Design-fluent enough to pair tightly with a brand designer Soft Skills & Mindset - Operates like a founder — autonomous, pragmatic, fast - Runs from a prototype and a POV, doesn't wait for pixel-perfect specs - Communicates clearly and async-friendly - Comfortable with a paced, gated start-stop rhythm (the cert cadence is part of the job) - Cares how things feel, not just whether they work What You'll Get - A founding frontend seat on a product that's already built and ready to ship - Direct collaboration with the CTO on architecture and the CEO on product - 1099 contract-to-hire to start, converting to a full-time early-employee seat with equity on mutual fit - Real ownership of the surface users touch most — the draw tool is yours - The chance to define how an entire creative-gaming product feels on mobile Our Mission - We're building creative skill gaming that rewards imagination with real prizes. - The product is built. The job is to make it real on mobile, and make it feel incredible. - If you've shipped mobile apps you're proud of, you sweat the details of touch and motion, and you want to own a signature surface from day one, you'll fit right in. Note - This is U.S.-based and work-authorized (1099 → W-2 path). Rate is $50-70/hr depending on experience, negotiable up for strong mobile-game or drawing-tool backgrounds. We'll start with a short paid sprint on the actual codebase to align on pace and quality, then scale from there. Looking forward to building together.

Summary Senior Full-Stack Developer with experience in JavaScript, python, nodeJS, php.

 We are building a multi-tenant AI-powered marketing operating system for SMBs. 

This is NOT an autonomous AI agent project.

 The platform uses deterministic workflow orchestration enhanced with AI services for:

* content generation,
* approvals,
* publishing,
* engagement analysis,
* brand-style learning,
* multi-platform social posting, * social media campaign.

 We need a senior engineer who understands production SaaS architecture, workflow reliability, API integrations, queues/retries, and AI integrations.

 REQUIRED EXPERIENCE:

* Multi-tenant SaaS applications
* Queue/retry systems
* Webhook reliability
* Idempotency / duplicate prevention
* API integrations (multiple social media platforms)
* Structured AI outputs (JSON schema validation)
* Background jobs / async workflows
* Production-grade backend architecture

 YOU SHOULD UNDERSTAND

* deterministic workflow orchestration,
* retries/backoff,
* distributed locks,
* tenant isolation,
* workflow state management,
* structured AI pipelines,
* cost governance,
* approval workflows.

 DO NOT APPLY IF YOUR EXPERIENCE IS MOSTLY:

* autonomous AI agents,
* chatbot-only projects,
* prompt engineering only,
* no backend SaaS experience.

 Project Scope:

* starting with 50 concurrent clients
* AI-generated social content
* approval-gated publishing
* multi-platform posting
* adaptive brand memory
* analytics + engagement tracking * paid social media campaigns

 To apply, please provide:

 1. Relevant SaaS/backend projects
 2. Experience with OpenAI structured outputs
3. Your preferred architecture approach for scalable workflow systems

I am a Ph.D. and digital product business owner who uses AI (Claude, ChatGPT, and other AI tools) every day to build, market, and scale my business. My 12-year-old son and I are looking for an experienced AI tutor who can teach us how to work with AI effectively—not just how to ask questions, but how to think, build, create, and solve problems with AI. This is an ongoing coaching relationship, not a one-time class. I already use AI daily and want to become significantly more advanced in prompt engineering, AI workflows, automation, and business applications. My son is curious, creative, and highly motivated. We want someone who can grow with him over the coming years as AI continues to evolve. WHAT WE ARE LOOKING FOR • Weekly one-on-one coaching sessions (one for me, one for my son) • Hands-on learning using real projects—not lectures or slide presentations • Practical skills that can be used immediately • A structured curriculum that builds over time • Someone who enjoys teaching and can explain complex ideas clearly • Experience with Claude, ChatGPT, and current AI tools MY LEARNING GOALS I use AI every day and want to continue improving how I work with it. Topics include: • Advanced prompt engineering • AI workflow design • Prompt refinement and iteration • Research and fact-checking • Marketing copy • Product descriptions • Sales pages • Email sequences • Business automation • AI-assisted content creation • Website content • Productivity systems • Emerging AI tools and best practices JORDAN'S LEARNING GOALS Jordan is 12 years old. While we'll certainly use AI for school projects and writing, our larger goal is to help him develop future-ready skills that will grow with him through middle school, high school, college, and beyond. We are looking for someone who can progressively teach him how to use AI to create, build, and solve problems. Topics may include: • Learning how to communicate effectively with AI and using AI to support academic success • Critical thinking and verifying AI responses • Research and creative writing • Brainstorming and problem solving • Website design and development with AI • Creating simple games with AI • Building apps and digital tools as his skills grow • Learning basic programming concepts using AI as a coach • Entrepreneurship and business ideas • Using AI to help businesses become more efficient • Marketing and content creation • Responsible and ethical use of AI • Developing confidence as a creator—not just a consumer—of AI technology The ideal tutor enjoys helping young people build real-world skills and can gradually increase the difficulty as Jordan grows. WHAT WE ARE LOOKING FOR IN YOU • Demonstrated experience teaching AI—not simply using it • Strong prompt engineering knowledge • Comfortable teaching both an adult professional and a motivated 12-year-old • Patient, engaging, and adaptable • Able to build a long-term curriculum instead of isolated lessons • Reliable, organized, and an excellent communicator Bonus experience: • Programming or software development • Website development • AI-assisted coding • Game development • Digital marketing • Entrepreneurship • Small business consulting LOGISTICS • Two weekly sessions (one for Jordan and one for me--45–60 minutes each) • Zoom • Weekly to start • Start date: ASAP • Budget: Please include your hourly rate. TO APPLY Please include: Your hourly rate. Your experience teaching AI and prompt engineering. An example of how you would structure Jordan's first month of lessons. An example of how you would structure my first month of lessons. What you think will be the most valuable AI skills for a motivated 12-year-old to develop over the next five years. Applications that do not answer these questions will not be considered. We are looking for someone who enjoys teaching, stays current with AI, and is excited about helping both a business owner and a young learner become confident, capable AI users and creators.