Hi I am looking to create an AI agent that is friendly with Copilot but could work with other common AI platforms. Details: An AI RFP agent to streamline the entire procurement process by drafting RFPs, recommending deliverables, checking for missing requirements, and ensuring USDA/AMS compliance. It could automatically compare vendor proposals, score them against predefined criteria, identify risks and gaps, recommend vendors based on past performance, and generate executive summaries and recommendation memos. Once a vendor is selected, it could also create statements of work, project timelines, and contract milestones while capturing lessons learned to continuously improve future RFPs. The result is a faster, more consistent, and more strategic procurement process that allows the team to spend less time on administration and more time selecting the best partners.

We are seeking an expert Data Scientist in the United States with 5+ years of experience in linear programming. The ideal candidate will have a strong background in data analysis and machine learning, with the ability to optimize complex systems using linear programming techniques. Responsibilities include developing and implementing data-driven solutions, collaborating with cross-functional teams, and providing insights to drive business decisions. TeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with our innovative technology. We believe in empowering our customers through inventive solutions and a commitment to excellence. Our young, rapidly growing team is looking for passionate professionals who thrive in a dynamic, innovative, and collaborative environment. ***This role is FULLY REMOTE, though you MUST reside within the United States and be legally authorized to work in the United States. The Role TeamBuilder builds software for ambulatory healthcare operations. The problem is simple: turn messy healthcare data into actions. This role sits between data, forecasting models, and optimization. You own forecasts end to end and work directly with the optimization layer. Shape inputs, validate outputs, and turn results into something operators can use. What You’ll Do  Forecasting model ownership o Build and iterate production grade demand and volume forecasts o Evaluate models with backtesting and real-world performance o Maintain stability with retraining, drift monitoring, and failure handling o Improve models based on operational outcomes  Sit at intersection of data and optimization o Define input data contracts for optimization models including capacity, constraints, and demand o Transform raw data into model-ready features and constraints o Validate solver outputs and identify infeasibility, constraint conflicts, and scaling issues o Trace issues back to data assumptions and constraint design o Convert outputs into usable schedules and recommendations  Model + system validation o Compare model output to operational reality and explain gaps o Run scenario analyses under different constraints o Improve pipelines that support forecasting and optimization quality o Test assumptions against real-world variation  Communication / translation o Explain models and outputs to non-technical users including operators and clients o Translate tradeoffs between accuracy, feasibility, and constraints o Deliver clear recommendations tied to business outcomes o Participate in client conversations and defend model behavior What We’re Looking For Qualifications  5+ years in data science or applied analytics  Experience owning forecasting models in production  Strong Python and SQL, comfortable with large datasets  Experience working with messy data  Ability to explain technical work clearly to non-technical users Preferred Skills  Experience in healthcare or complex operational environments such as staffing or capacity planning  Experience with capacity-constrained systems  Familiarity with solvers such as Gurobi Why You’ll Love Working Here  Mission-driven team tackling real healthcare challenges.  Freedom to experiment and innovate without layers of bureaucracy.  Opportunity to shape the company’s data science culture and R&D direction.  Flexible work environment and supportive, intellectually curious teammates. Additional Information  Job Type: Contracted, Part-Time/Full-Time, Remote  Compensation: Hourly, project-based. Potential to go Full-Time.  Culture: We foster a collaborative, engaging, mission-driven culture that values innovation and prioritizes customer success.

Seeking a PhD-level scientist with expertise in modeling complex, large-scale systems. Experience in climate-related or infrastructure modeling might be applicable. The role involves developing and analyzing complex systems models to provide insights and solutions. Strong analytical and technical skills are essential. This person needs a strong background in statistical modeling & the mathematics behind it. I want a scientist who can help me navigate "cross-cause prioritization" modeling in philanthropic analysis.

Project Overview We are looking for an experienced AI workflow, process design, and prompt engineering expert to help us automate part of our sales and proposal development process. Currently, our project management team spends 4–12 hours developing a custom research plan and proposal for each active FSI lead. In busy weeks, we may work on 5–6 leads, which creates a significant time burden and slows down response time. We want to build a custom ChatGPT skill or AI workflow that can take sales notes, email context, and call notes, then help generate a research plan and proposal in our existing format. What We Need We need someone who can: Learn and map our current sales/proposal process Translate that process into a structured AI workflow Write effective prompts and decision trees Train or configure a custom ChatGPT skill/workflow Help the AI ask the right follow-up questions Generate proposal sections based on uploaded notes Recommend research scope, segmentation, targets, and options Output the final proposal in our existing template Desired Workflow The ideal AI workflow would allow us to upload notes from emails and sales calls. The AI would then ask a series of structured questions to determine how to write each section of the proposal. The AI should be able to: Recommend the appropriate research process Suggest project scope Identify demand segmentation opportunities Create tables for the proposal Recommend constituencies and companies to target Suggest research options Draft the proposal using our template Provide a strong first draft that our team can review and adjust Business Goal The goal is to significantly reduce the time spent developing research plans and proposals, especially for early-stage leads and marketing-generated opportunities. This is particularly important for new leads from companies we have not worked with before, where the probability of closing may be relatively low. We want to respond quickly and professionally without taking excessive time away from active client projects. Ideal Freelancer You should have experience with some or all of the following: AI workflow design Prompt engineering Custom GPTs or ChatGPT skills Sales/proposal automation Business process documentation B2B research or consulting workflows Template-based document generation AI-assisted decision trees Knowledge management or internal AI tools Experience with market research, consulting, or proposal development is a plus. Deliverables We expect the freelancer to deliver: A documented AI workflow/process map A set of structured prompts and instructions A functioning custom GPT, ChatGPT skill, or equivalent AI workflow Question logic for gathering missing proposal inputs Proposal section drafting logic Testing and refinement using sample lead notes Documentation so our team can maintain and improve the workflow Project Type This will likely begin as a one-time project, with potential for ongoing support as we refine the workflow and expand it to other proposal types. To Apply Please include: Examples of AI workflows, custom GPTs, or prompt systems you have built Your experience with proposal automation or business process automation Your recommended approach for this project Any questions you would need answered before starting

-$150K Salary with Healthcare benefits, W2 applicants ONLY. -Must be U.S. Citizen -Remote role in U.S. with 25% travel to client sites Show me your best work as a Forward Deployed AI Engineer (FDE) by showing me: a) how you approach enterprise clients' complexities ($1B+ revenue businesses)** experience is a must with enterprise b) your technical fluency across data, tech, AI c) your people skills d) how you break down business processes e) experience around customer experience work preferred** Claude Certified Architects, Codex, and all other LLMs/AI engineering tools Only interviewing serious candidates looking for full-time work. No agencies, or LLCs/s-corps.... only FTEs W2. ex-Big 4, Big Tech Preferred candidates will get interviews first. Applicants that use AI slop to apply won't be considered.

Seeking an experienced PyTorch engineer with strong knowledge of transformer internals to help implement a model-specific runtime intervention module within an existing supervisory architecture. The core architecture, evaluator, control logic, interfaces, and project structure are already implemented. This engagement focuses on implementing and validating the actuator layer that translates neutral control directives into model-specific residual-stream operations.

Type: Hourly, ongoing (part-time to full-time, room to grow) Stack you'll work in: Notion, Slack, HubSpot, Google Workspace/Gmail, Claude + other LLM APIs, Zapier/Make/n8n About us We're a fast-moving sports and fan-engagement startup. We're small, we ship quickly, and we want AI woven into how the whole company operates, not as a side experiment, but as the default way we work. You'd be the person who makes that real. What you'll do Map our current workflows across sales, marketing, ops, and content, then find the highest-leverage places to automate. Build automations and agent workflows that connect our tools (Notion, Slack, HubSpot, Gmail/Google Workspace) using platforms like Zapier, Make, or n8n plus LLM APIs. Design and ship AI agents for real jobs: lead routing and CRM enrichment, content drafting, customer/fan response triage, internal knowledge search, reporting digests. Stand up the connective tissue (prompts, integrations, guardrails, and monitoring) so automations are reliable, not brittle demos. Train and enable our team: build SOPs, run working sessions, and create lightweight docs so non-technical people actually adopt what you build. Help set our AI strategy and roadmap as we scale. You're a strong fit if you Have shipped real automations and AI agent workflows in production (not just prototypes). Are fluent with Zapier / Make / n8n and at least one major LLM API (Anthropic/Claude, OpenAI). Know your way around HubSpot, Notion, Slack, and Google Workspace integrations and APIs. Can write clean prompts and think in systems: edge cases, error handling, human-in-the-loop checkpoints. Can explain technical work to non-technical people and get them to adopt it. Communicate proactively and move fast without breaking trust on things that touch customers or revenue. Nice to have Experience taking a small company "AI-native" end to end. Background in sports and/or blockchain. Comfort with light scripting (Python/JS) when no-code hits its limits. How to apply In your proposal, please: Describe one AI agent or automation you built, the tools involved, and the measurable result. Tell us how you'd approach training a non-technical team to actually use what you build. This part matters as much as the build. Share your hourly rate and weekly availability. Proposals that skip these will be passed over. We're looking to start with a small paid task and grow the engagement from there.

Need a basic ai bot built on high level. I will work with you one on one so it’s perfect. - need it to quote. - if someone signs up for service, push the contact info into a slack channel. Need someone who is experienced with high level ai bots

We are seeking a highly experienced Advanced Artificial Intelligence instructor and curriculum consultant to design, customize, and deliver a private, instructor-led AI training program for a group of six participants. The program is expected to begin in October 2026 and may be delivered onsite in San Francisco, San Diego, or Los Angeles, California. The final location and schedule will be determined with the selected instructor and client. Program Overview This engagement is intended for experienced AI practitioners who can connect advanced technical concepts with practical enterprise implementation. The selected instructor will work with the client and NobleProg to determine the appropriate program duration, sequence the curriculum, customize the content, prepare hands-on labs, and deliver the training. The program should provide participants with practical knowledge of modern AI engineering, enterprise AI architecture, AI governance, large language models, production AI systems, and the infrastructure required to deploy and manage advanced AI solutions. Requested Curriculum Areas The proposed program should address the following subjects: AI governance, Responsible AI, and AI risk management Large language models and foundation models LLM training, fine-tuning, and distributed training LLMOps and production AI MLOps and AI platform engineering On-premises AI, private AI, and data sovereignty Agentic AI and multi-agent systems Retrieval-Augmented Generation Knowledge graphs and enterprise knowledge integration AI infrastructure and GPU clusters Distributed computing for AI workloads High-performance model inference AI security and model security Regulatory compliance and enterprise AI controls Enterprise AI architecture and deployment strategy The final curriculum may be adjusted based on participant backgrounds, available infrastructure, program duration, and the client’s technical priorities. Training Requirements The training should preferably be delivered as a private, instructor-led program and include: Practical exercises and demonstrations Instructor-guided hands-on labs Realistic enterprise AI use cases Participant training materials Lab instructions and supporting resources Recommendations for continued learning Certificates of completion Opportunities for participant questions and technical discussion Instructor Responsibilities The selected instructor will be responsible for: Participating in a client alignment and discovery meeting Assessing the participants’ technical backgrounds and learning objectives Recommending an appropriate course duration and training schedule Developing a proposed course outline Customizing the curriculum for the client Identifying participant prerequisites Defining all hardware, software, cloud, and GPU requirements Preparing practical exercises and hands-on labs Delivering the training virtually or onsite Providing training materials and supporting resources Recommending certificate or continuing education options Coordinating with NobleProg throughout the engagement Program Details Anticipated start: October 2026 Number of participants: Six Potential onsite locations: San Francisco, California San Diego, California Los Angeles, California Delivery options: Private onsite instructor-led training Private virtual instructor-led training A blended or hybrid schedule, when appropriate Applicants should indicate which locations and delivery formats they can support. Ideal Instructor Qualifications The ideal instructor will have substantial professional experience in several of the following areas: Enterprise artificial intelligence Machine learning engineering Large language model development and deployment Foundation model training or fine-tuning Distributed model training LLMOps and MLOps AI platform engineering Agentic AI and multi-agent architecture Retrieval-Augmented Generation Knowledge graphs GPU infrastructure and AI clusters High-performance model serving and inference Private or on-premises AI deployments Data sovereignty and regulated data environments AI governance and Responsible AI AI security, compliance, and risk management Enterprise AI architecture Previous experience delivering advanced instructor-led training to corporate, government, engineering, or technical audiences is strongly preferred. Relevant certifications, publications, conference presentations, open-source contributions, enterprise projects, or academic credentials should be included in the application. Proposal Requirements Please provide the following information with your application: A summary of your relevant AI experience Your instructor-led training experience Your experience with enterprise or government clients Your recommended course duration Your proposed training schedule A preliminary course outline Recommended technical prerequisites for participants Required participant software and development environments Required cloud platforms, GPU resources, or local infrastructure Your ability to support virtual delivery The onsite locations you can support Your availability during October 2026 Relevant certifications and professional credentials Examples of similar training programs you have delivered Certificate or continuing education options you can support Any applicable corporate, government, or group-training considerations Confirmation that you accept the stated daily rate Please clearly identify which curriculum topics you can teach directly and whether any portions of the program would require an additional specialist. Compensation Training rate: $1,200 per day of training delivery The final project compensation will be determined by the approved number of training days. The agreed compensation is expected to cover: One client alignment and discovery meeting Curriculum planning Training material preparation Reasonable curriculum customization Hands-on lab preparation Instructor-led training delivery Reasonable local travel expenses, including gas, Uber, and parking, will be reimbursed when necessary and approved in advance. Any airfare, lodging, extended-distance transportation, specialized cloud environments, GPU resources, software licenses, or other significant expenses must be disclosed and approved before the engagement begins. Payment Terms Payment milestones and invoicing terms will be finalized before the engagement begins. Applicants should disclose any required deposits, cancellation terms, or other payment conditions in their proposals. Important Links Additional program and curriculum details: https://docs.google.com/document/d/1EZ4KRYCaZZYtg3JX4eSu82H3pmjCRxEguHCbbTD7yJ0/edit?usp=sharing NobleProg instructor process and SOP: https://share.synthesia.io/a0788c6e-56d5-4da8-92c6-0d5c03ad6d52 Please review both links before submitting your application. How to Apply Begin your application with the phrase “Advanced Enterprise AI Instructor” to confirm that you have reviewed the complete posting. Please submit a focused proposal that explains how you would structure this program for six participants, including the number of days you recommend, the balance between lectures and labs, and the infrastructure required to complete the hands-on exercises successfully.

FrantzMaster AI is an all-in-one intelligent personal, business, transportation, finance, savings, reminder, and daily-life assistant designed to help people save money, make better decisions, stay organized, and manage everything in one place. The main purpose of FrantzMaster AI is to become a user’s everyday AI assistant for finding the best opportunities, comparing prices, tracking important expenses, managing bills, discovering affordable transportation and fuel options, monitoring business activities, and reminding users about important tasks before they forget them. FrantzMaster AI should be simple enough for anyone to use while being powerful enough to help individuals, families, drivers, truck drivers, small-business owners, entrepreneurs, and companies. The application should use artificial intelligence, automation, location-based services, personalized recommendations, price comparisons, calculators, alerts, reminders, dashboards, and intelligent tracking to help users save time and money. 1. SMART AI PERSONAL ASSISTANT FrantzMaster AI should have a central AI assistant that users can communicate with naturally. Users should be able to type or speak requests such as: * “Find me the cheapest gas near me.” * “Find the best load for my truck.” * “Find me a cheap ride.” * “Remind me to pay my insurance tomorrow.” * “How much money did I spend this month?” * “How much will this trip cost me?” * “Find the best loan for me.” * “Compare these insurance prices.” * “Remind me about my car payment.” * “What bills do I have coming up?” * “How much can I save this month?” * “Find the cheapest route.” * “Calculate my profit.” * “Help me manage my business.” * “What should I pay first?” * “Show me everything I need to do today.” The AI should understand the user’s request and automatically direct them to the correct feature. ⸻ 2. BEST LOAD FINDER FrantzMaster AI should include a powerful Load Finder designed especially for truck drivers, box-truck drivers, owner-operators, carriers, and transportation businesses. The system should help users find available loads and compare them. Users should be able to enter: * Truck type * Truck size * Maximum weight * Current location * Destination * Available dates * Preferred distance * Fuel economy * Minimum desired payout * Return-trip preferences * Empty-mile preferences The AI should help compare loads based on: * Total payout * Miles * Estimated fuel cost * Tolls * Estimated driving time * Deadhead miles * Estimated profit * Profit per mile * Profit per hour * Pickup location * Delivery location * Broker information * Load requirements The AI should help users understand which loads may provide better potential profit. The app should never guarantee that a load is profitable. Instead, it should provide calculations and estimates so the user can make an informed decision. ⸻ 3. CHEAPEST GAS FINDER FrantzMaster AI should include a Best Gas Finder. The user should be able to see nearby gas stations and compare fuel prices. The application should allow users to search for: * Cheapest regular gas * Cheapest mid-grade * Cheapest premium * Cheapest diesel * Gas stations near the user * Gas stations along a route * Gas stations near a destination The AI should consider: * Distance * Fuel price * Estimated amount of fuel needed * Vehicle fuel economy * Potential savings * Route convenience The system should help users avoid driving far out of their way just to save a few cents per gallon. ⸻ 4. LOAN COMPARISON FrantzMaster AI should include a Loan Finder and Loan Comparison Tool. Users should be able to enter: * Loan amount * Credit score range * Desired loan term * Monthly income * Monthly expenses * Down payment * Interest rate * Existing debt The AI should help users compare loan offers based on: * APR * Interest rate * Monthly payment * Total interest * Total repayment * Loan term * Fees The AI should clearly explain that loan offers, approval decisions, interest rates, and eligibility depend on the lender and the user’s financial information. The app should help users understand loans rather than promise approval. ⸻ 5. INSURANCE COMPARISON FrantzMaster AI should help users organize and compare insurance information. The app can support categories such as: * Car insurance * Truck insurance * Commercial insurance * Home insurance * Renters insurance * Business insurance * Life insurance * Other insurance Users should be able to save: * Insurance company * Policy number * Monthly payment * Due date * Renewal date * Coverage information * Agent information * Customer service information The AI should remind users before payments and renewals. ⸻ 6. CAR AND TRUCK MANAGEMENT FrantzMaster AI should have a Vehicle Manager. Users should be able to add: * Car * SUV * Van * Pickup truck * Box truck * Commercial truck * Trailer * Motorcycle For every vehicle, users should be able to track: * VIN * License plate * Mileage * Registration expiration * Insurance expiration * Inspection * Oil changes * Tire rotations * Brake service * Maintenance * Repairs * Fuel expenses * Loan payments * Vehicle value * Service history The app should automatically remind users when important vehicle tasks are approaching. ⸻ 7. BILL MANAGEMENT FrantzMaster AI should include a powerful Bill Manager. Users should be able to add every recurring bill they have.