NobleProg is seeking experienced Claude AI Trainers based in California or Colorado to deliver instructor-led training programs for corporate and government clients. We are looking for professionals with at least 2 years of hands-on experience using Claude by Anthropic who can teach practical applications of Generative AI, prompt engineering, workflow automation, and enterprise AI adoption. This is an ongoing contract opportunity with the potential for multiple training engagements. Compensation $1,200/day for onsite training delivery $1,100/day for remote training delivery Responsibilities Deliver live virtual and onsite Claude AI training sessions Teach both introductory and advanced Claude use cases Facilitate hands-on exercises and demonstrations Answer participant questions and provide practical guidance Customize training content to client requirements Stay current with developments in Claude and Generative AI Required Qualifications Minimum 2 years of hands-on experience working with Claude (Anthropic) Experience applying Claude in business, technical, research, or enterprise environments Previous experience delivering training, workshops, webinars, or professional instruction Strong presentation and communication skills Must be located in California or Colorado Preferred Qualifications Experience with ChatGPT, Gemini, Microsoft Copilot, or other AI platforms Background in AI consulting, digital transformation, or enterprise technology Experience training corporate or government clients Familiarity with prompt engineering and AI workflow design To Apply please include: Your city and state Summary of your Claude experience Training or teaching experience Any AI-related certifications, presentations, or training materials We are actively reviewing candidates and are looking to build long-term relationships with exceptional AI trainers for future engagements. Only candidates based in California or Colorado will be considered.

Company Overview Pay Ready is a leading provider of innovative payment solutions tailored for the property management industry. We help property owners and managers streamline financial processes and accounts receivable functions, including processing current and post-resident rent payments and recoveries. As we integrate Generative AI (GenAI) across our operations, we're seeking a Senior Software Developer to drive the development of AI-powered solutions that enhance both internal workflows and customer-facing applications. Position Overview Joining our team as a Senior Software Developer – Generative AI means being at the forefront of innovation, working on cutting-edge projects that are shaping the future of AI and machine learning. You'll have the opportunity to collaborate with top experts in the field, contributing to groundbreaking research and development that has real-world impact. We offer a dynamic and collaborative work environment where your ideas and contributions are valued, and where you'll have the resources and support needed to bring your vision to life. Being part of our team means embracing a culture that fosters continuous learning and professional growth, with access to ongoing training and development opportunities. You'll work on diverse and challenging projects, gaining valuable experience and expertise that will set you apart in your career. Key Responsibilities - Design and develop AI-driven applications that address both internal operational needs and external client requirements. - Utilize frameworks such as LangGraph and LangSmith to build, orchestrate, and monitor AI workflows. - Implement solutions that integrate seamlessly with existing systems, ensuring reliability and scalability. - Work in tandem with project managers and product owners to understand project scopes, timelines, and deliverables. - Participate in sprint planning, code reviews, and team meetings to ensure alignment and timely delivery of projects. - Provide technical insights and recommendations during the planning and execution phases. - Develop and refine AI models, ensuring they meet performance and accuracy benchmarks. - Monitor and analyze AI application performance, making necessary adjustments to optimize outcomes. -Stay updated with the latest advancements in AI and machine learning to incorporate best practices into development processes.

Bellementis PLLC is seeking a contract legal automation specialist to help design and implement practical automation workflows for a fast-growing boutique law firm. The ideal candidate has experience with law firm operations, document automation, AI tools, workflow design, and systems such as Microsoft 365, Clio, NetDocuments, Gavel, Zapier, Notion, or similar platforms. Responsibilities may include: Automating client intake, engagement letters, matter opening, task tracking, billing workflows, and document generation Building reusable templates, checklists, and workflows Helping integrate AI tools into legal and administrative processes Improving knowledge management and internal firm operations Working with lawyers, operations, and technical team members to turn manual processes into scalable systems This is a contract role. Prior experience with legal tech, law firm operations, document automation, or AI-enabled workflow design is strongly preferred.

We are looking for 2-3 AI engineers/developers to help us build/complete an AI go-to-market (GTM) tool that looks at both structured and unstructured data, runs it all through our AI engine, and provides insights and recommendations straight to sales people. The tool is able to handle large volumes of data and provide actionable insights for business decision-making. Our engine consists of a prioritization algorithm, pattern matching and sentiment analysis. We use our recommendation engine to deliver the output (insights) straight to our tool which is "Apple-simple", intuitive and gamified. No more sales time wasted on looking at dashboards and trying to agree on which insights are important and which should be acted on. What you'll do Own features end-to-end across theFastAPI backend (IEngine) and Next.js 15 / React 19 frontend— from Claude prompt design to UI polish. Extend the intelligence pipeline: meeting ingestion (Google Drive + Deepgram realtime), Claude-driven action card generation, Neo4j relationship graph, and Supabase-backed state. Build customer-facing dashboard surfaces — deals, gamification, coaching, trust graph — with TypeScript, Tailwind, shadcn/ui, and D3. Operate WebSocket transcription sessions and async job pipelines reliably under real meeting load. Instrument with Sentry, harden auth (NextAuth :left_right_arrow: JWT :left_right_arrow: FastAPI service-to-service), and keep deploy pipelines green. Build with simulators: when you can't test against live meetings, generate realistic synthetic transcripts through our simulator service. Stack you'll work in Backend: Python 3.11, FastAPI, Uvicorn, PyJWT, Anthropic SDK, Deepgram, Neo4j, Supabase (Postgres + realtime), WebSockets Frontend: TypeScript, Next.js 15 (App Router), React 19, NextAuth 5, Tailwind, shadcn/ui, D3, Stripe Infra: Fly.io, GitHub Actions, Sentry, Supabase AI: Claude (Opus/Sonnet) for transcript analysis, action card generation, and agentic dev workflows What we're looking for 4+ years building production web applications, ideally across Python and TypeScript. Comfort designing and shipping features against an LLM API — prompt iteration, structured outputs, evals, cost/latency tradeoffs. Real Claude or OpenAI production experience required. Experience with multi-tenant SaaS patterns, JWT auth, and one or more of: graph databases, realtime systems, audio/transcription pipelines. Comfort with AI-assisted development workflows (Claude Code, Cursor, etc.) — not just as a code-completion tool, but as a way to plan and ship features. Bias toward shipping. Small surface area, high ownership, no committee.

Authority Hacker AI Accelerator / Claude Code Consultant Needed for Financial Services Lead Generation & Automation Overview I am looking for an experienced consultant who is familiar with the Authority Hacker AI Accelerator ecosystem, Claude Code, AI agents, automation workflows, and modern lead-generation systems. This is not a traditional SEO project. My goal is to build practical AI-powered systems that help generate qualified leads, automate repetitive tasks, improve prospect outreach, and allow me to spend more time meeting with clients. Ideal Candidate You have hands-on experience with: • Authority Hacker AI Accelerator • Claude Code • AI Agents • Anthropic Claude • OpenAI / ChatGPT • n8n • Make.com • GoHighLevel • LinkedIn Sales Navigator • CRM Automation • Lead Enrichment • Workflow Design • API Integrations • Prompt Engineering • SOP Creation Bonus Experience Experience working with: • Financial Advisors • Insurance Agents • Medicare Agents • Wealth Management Firms • Compliance-Sensitive Industries Initial Objectives I want help building and implementing: Phase 1: AI Prospect Research System Build a workflow that: • Identifies ideal prospects • Researches prospects automatically • Summarizes relevant information • Generates personalized outreach suggestions • Creates prospect profiles Phase 2: LinkedIn Lead Generation System Build a workflow that: • Supports LinkedIn prospecting • Generates personalized first-touch messages • Generates follow-up messages • Helps maintain ongoing conversations • Creates content ideas relevant to target audiences Phase 3: CRM & Follow-Up Automation Connect with: • GoHighLevel • Redtail CRM • Calendly or appointment scheduler • Email systems Objectives: • Automate follow-up • Automate reminders • Improve lead tracking • Reduce manual work Phase 4: Content & Marketing Automation Create systems that help generate: • LinkedIn posts • Educational content • Seminar marketing materials • Email campaigns • Client nurturing content Deliverables I am looking for someone who can: • Recommend the best architecture • Build workflows • Document workflows • Train me to use them • Create simple SOPs • Record Loom videos explaining the setup Important Please only apply if you have actual experience with: • Authority Hacker AI Accelerator • Claude Code • AI Agent workflows In your proposal, please answer: 1. Have you completed or participated in Authority Hacker AI Accelerator? 2. What Claude Code projects have you built? 3. What AI agent systems have you implemented? 4. Which automation platforms do you prefer and why? 5. Share examples of AI workflows that generated measurable business results. 6. How would you approach this project for a financial advisor focused on retirement income and Medicare planning? Engagement • Initial paid consultation • Followed by project implementation • Potential ongoing monthly advisory relationship

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.

We're an early-stage AI startup building Hirey — an agent-to-agent marketplace that runs inside various AI tools via a plugin. Think "Upwork for AI agents": your agent finds, vets, and books the right human or agent on your behalf. We're looking for 5 AI Agent enthusiasts to install our plugin (openclaw, codex, Opus, Gemini), try a sample workflow, and give us honest feedback on a 30-minute Zoom. About 30 minutes of your time total. What you'll do 1. Install the Hirey plugin in Codex. It connects your agent to Hirey’s remote MCP server, so there’s no local server, Node setup, Claude Desktop, or JSON config edit required. Setup is usually: enable the plugin, restart the AI agent you installed on 2. Connect to Hirey and run one sample workflow we send you. 3. 30-min Zoom with the founding team. We'll ask what confused you, what worked, what you'd change. Camera on, recorded. Who we're looking for - Someone who has used AI tools in the past, especially for any coding or technical tasks - You use Claude Desktop, Cursor, Codex, or similar AI dev tools regularly. - Bonus: you've built or contributed to anything in the AI agent / MCP / LangChain / Claude Code ecosystem. What you get - $25 flat, released via Upwork on call completion. - Early access to the Hirey AI agent network if you want to keep using it. - A direct line to the founding team — we genuinely want your criticism. To apply, answer these in your proposal 1. Have you used an AI coding tool before? Which one(s)? 2. One sentence on a recent AI/agent project you've worked on or played with. 3. Your timezone and earliest availability this week. We'll respond within 24 hours and schedule calls within 2 business days. No long applications, no portfolio review. Optimizing for speed.

We're an early-stage AI startup building Hirey — an agent-to-agent marketplace that runs inside various AI tools via a plugin. Think "Upwork for AI agents": your agent finds, vets, and books the right human or agent on your behalf. We're looking for 5 developers to install our plugin (openclaw, codex, Opus, Gemini), try a sample workflow, and give us honest feedback on a 30-minute Zoom. About 30 minutes of your time total. What you'll do 1. Install the Hirey plugin in Codex. It connects your agent to Hirey’s remote MCP server, so there’s no local server, Node setup, Claude Desktop, or JSON config edit required. Setup is usually: enable the plugin, restart the AI agent you installed on 2. Connect to Hirey and run one sample workflow we send you. 3. 30-min Zoom with the founding team. We'll ask what confused you, what worked, what you'd change. Camera on, recorded. Who we're looking for - Someone who has used AI tools in the past, especially for any coding or technical tasks - You use Claude Desktop, Cursor, Codex, or similar AI dev tools regularly. - Bonus: you've built or contributed to anything in the AI agent / MCP / LangChain / Claude Code ecosystem. What you get - $25 flat, released via Upwork on call completion. - Early access to the Hirey AI agent network if you want to keep using it. - A direct line to the founding team — we genuinely want your criticism. To apply, answer these in your proposal 1. Have you used an AI coding tool before? Which one(s)? 2. One sentence on a recent AI/agent project you've worked on or played with. 3. Your timezone and earliest availability this week. We'll respond within 24 hours and schedule calls within 2 business days. No long applications, no portfolio review. Optimizing for speed.

We have a small Python-based machine learning inference service built with FastAPI and scikit-learn. The model was trained on structured tabular data, but our prediction endpoint is currently failing because of feature mismatch errors between the training pipeline and incoming API payloads. We need an experienced ML/MLOps engineer to quickly debug the issue, clean up the preprocessing logic, and make the `/predict` endpoint work reliably again. The goal is not to retrain the full model or build a large system. We only need a focused fix: review the existing model artifact, inspect the expected feature columns, update the API preprocessing code, and provide a short explanation of what was wrong. Bonus if you can also add a simple test request example or basic validation for missing fields. This should be a quick one-time task for someone comfortable with Python, scikit-learn, Pandas, FastAPI, and ML deployment workflows.

Eligibility: This role is open to U.S. citizens only due to client security and compliance requirements. Please apply through this posting only — do not contact Data-Sleek directly regarding this position. Applications received outside this channel will not be considered and reported to Upwork. Data-Sleek is looking for a Senior AI Solutions Engineer to lead our on-premise and government-cloud AI deployments. You will design, build, and deploy AI-powered data pipelines for clients who cannot use commercial cloud due to ITAR, CMMC, or other data residency constraints, beginning with a client in the aerospace and defense sector. Beyond this first engagement, you will become Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients, building the practice rather than just executing a single project. About Data-Sleek Founded in 2020, Data‑Sleek® is a U.S.-based AI and data consulting firm that helps mid-market companies build the data foundation that AI actually runs on. We own the full path — data strategy, architecture, integration, warehousing, and AI implementation — so organizations can adopt AI with confidence, stay compliant, and scale, without first hiring an internal data team. Our distributed U.S. team (San Francisco, Los Angeles, Irvine, Dallas, Chicago, and New York) partners with clients across healthcare, finance, insurance, logistics, and technology, modernizing data platforms with best-in-class tools like Snowflake, dbt, Fivetran, Tableau, and AWS. Trusted by Fortune 500 institutions and growing companies alike, Data‑Sleek turns complex data into measurable outcomes — faster insight, lower cost, and AI projects that deliver. About the Role You will own the technical delivery of AI-powered data pipelines in restricted environments where commercial cloud is not an option. The immediate engagement centers on a Product Lifecycle Management (PLM) data migration: building a pipeline that connects to a client's SharePoint on a restricted Microsoft 365 government tenant, reads engineering documents, classifies and summarizes them, detects duplicates, and rates naming-convention compliance to produce a migration-readiness report. You will start on-premise, then help the client evaluate and move to government cloud for production. Key Responsibilities AI Pipeline Development Build AI pipelines that connect to a client's SharePoint on a government cloud tenant, read engineering documents, classify them by type, generate summaries, detect duplicates, and rate naming-convention compliance in support of PLM data migration. Catalog large document repositories and produce migration-readiness reports and Excel catalogs that give clients a clear, measurable picture of their data. Engineer document-parsing workflows across DOCX, PDF, and XLSX formats, including embedding generation and database operations. On-Premise & Government Cloud Deployment Deploy on-premise first — a Mac Mini running Gemma via Ollama — standing up, serving, and tuning local inference infrastructure. Evaluate and migrate to production on Azure OpenAI (Azure Government) or AWS Bedrock (GovCloud) when the client is ready to scale. Keep deployments compliant within ITAR-sensitive, restricted-network boundaries throughout. Architecture & Cost Advisory Produce cost models and architecture recommendations that help client IT teams make informed platform decisions based on measured data, not vendor pitches. Compare deployment options — local, Azure Government, and AWS GovCloud — on cost, performance, and compliance, and explain the trade-offs clearly. Practice Building & Delivery Serve as Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients. Build a reusable capability — a repeatable AI-solutions practice — rather than executing a single one-off project. What You Bring Required U.S. Citizen: U.S. citizenship is required and non-negotiable due to ITAR and client security and compliance requirements. Production LLM deployment: You have stood up inference infrastructure — not just called an API. You've handled model loading, memory constraints, failure modes, and throughput tuning in a real deployment. Local inference: Ollama, vLLM, llama.cpp, LM Studio, or TGI. You've served open-source models (Gemma, Llama, Mistral) on local hardware. Cloud AI platforms: Azure OpenAI or AWS Bedrock — at least one. Service configuration, model access, authentication, and token-based pricing. Python: Pipeline engineering — document parsing (DOCX, PDF, XLSX), API integrations, embedding generation, and database operations (SQLite, Postgres). Experience: 5+ years post-degree in software engineering, data engineering, or ML engineering. Strong Preferences Microsoft ecosystem: Entra ID, Microsoft Graph API, and SharePoint REST API at the API level. GCC High experience is a bonus. MCP (Model Context Protocol): Experience building or consuming MCP servers — a significant plus for a fast-evolving protocol. Workflow orchestration: n8n, Temporal, Airflow, or similar. The pipeline is orchestrated, not scripted. Government cloud awareness: Understanding of what FedRAMP High, IL4/IL5, and ITAR mean for cloud architecture decisions. Embeddings & vector similarity: sentence-transformers, pgvector, Qdrant, or FAISS for duplicate detection. 
Bonus (valued if present) Aerospace or defense experience: Familiarity with ECOs, BOMs, and AS9100 saves ramp time. Apple Silicon optimization: MLX, Metal acceleration, and Ollama tuning on M-series chips. Agentic frameworks: Bedrock AgentCore or Azure AI Foundry — the future direction involves agentic AI workflows on government cloud. What This Role Is Not Model training or fine-tuning. This is deployment engineering, not research. Data science or statistical modeling. The AI here is document understanding and classification, not predictive analytics. Frontend development. The deliverable is an Excel catalog and a report, not a web app. Sales or client acquisition. Data-Sleek's leadership manages the client relationship; you focus on delivery. Engagement & Compensation Remote, US-based. Occasional on-site travel to client facilities for hardware deployment and workshops may be needed. An average of 2–3 trips for the first engagement may be possible. Compensation. $40-$55/hour Why Join Data-Sleek? At Data-Sleek, you'll lead AI deployments in environments most engineers never touch — government cloud and on-premise systems where commercial tools simply aren't an option. Your work will directly shape how defense and aerospace clients adopt AI, and you'll build a reusable capability the company grows around. We focus on doing the right thing architecturally rather than selling the most expensive option, and we give our engineers the autonomy to deliver real solutions for real constraints. How to Apply If you've shipped real LLM deployments with real constraints, we'd like to hear from you. Please submit: Your resume A brief note describing one LLM deployment you've shipped — what model, what infrastructure, what data source, and what went wrong. Data-Sleek® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all contractors.