Python tutor Looking for a tutor to help with getting setup to advance my Python Skills. I have been working with Python in Excel and l now want to level up my skills to do some Simple Python Programing. Most of my interest is data science related using Python, Pandas, Matplotlib and statistical forecasting. I’m looking for a series of one on one Zoom sessions to setup VS code as my code editor with Python and related libraries, including setting up virtual environments, loading pip, how to organize file structures etc. Additional sessions I’d like to add Claude code to the mix and setup Jupyter Notebooks.

We are looking for an experienced developer who can help us with automation with Shopify and Gmail. Projects can include customer service/support workflows, a store-front AI chat bot, an AI auto-draft for gmails that improves itself overtime, a ticketing system for our overseas suppliers instead of relying on WeChat, and whatever else is needed that can be optimized and automated during the business process. We currently use Zapier for our automation needs. We will be scoping out the first project in greater detail on our initial call.

**AI Agents Trainer / Microsoft Copilot Studio Workshop for HR Leaders** We are looking for an experienced AI practitioner and trainer to help design and deliver a practical, hands-on workshop introducing AI agents to a nontechnical HR leadership audience. This is not a developer or highly technical audience. We are looking for someone who can translate AI concepts into plain language, connect them to real business workflows, and create an engaging learning experience that culminates in participants building their first AI agent. **What We're Looking For** The workshop should help participants: * Understand what AI agents are and how they differ from traditional AI/Copilot use * See practical examples of how agents are being used to automate or redesign knowledge work * Identify repetitive or process-driven work that could potentially be delegated to an AI agent * Understand the fundamentals of designing an effective agent * Receive hands-on instruction using Microsoft Copilot Studio * Design, build, test, and improve a simple functional agent * Leave with enough confidence and understanding to continue experimenting with agents independently **Audience** HR leaders and professionals with varying levels of AI experience. Participants are business users, not programmers or developers. The training needs to be approachable, interactive, and focused on practical application rather than technical theory. **Format** We anticipate approximately 1–5 hours of training and are open to recommendations from the selected trainer regarding the appropriate length and structure. I will lead the broader portion of our program connecting effective AI use to leadership and management skills. This engagement would focus specifically on AI agents, practical use cases, and the hands-on learning/building experience. **Ideal Background** We are particularly interested in someone who combines: * Hands-on experience building AI agents * Microsoft Copilot Studio experience * Strong presentation and facilitation skills * Experience teaching nontechnical business audiences * Ability to translate technical concepts into practical business applications * Experience with HR, shared services, or business process improvement is a plus When submitting a proposal, please briefly describe how you would structure the workshop, your recommended length, relevant training or facilitation experience, examples of agents or AI solutions you have built, and your estimated project cost. Our goal is not simply to teach participants how to use a new tool. We want them to begin thinking differently about how work can be designed—where AI can handle repetitive work and where people can spend more time on judgment, relationships, coaching, and strategic decision-making.

We’re looking for US-based freelancers to support ongoing AI training and evaluation projects. The work primarily involves reviewing AI-generated responses, comparing answer quality, and providing clear feedback that helps improve AI models. What you’ll do Review and compare AI-generated responses Evaluate responses for accuracy, relevance, reasoning, and overall quality Select the better response based on project guidelines Write short, clear explanations for your decisions Identify factual, logical, or instruction-following issues Follow detailed project-specific evaluation criteria Requirements Currently based in the United States with valid US work authorization Strong written English and reading comprehension Good attention to detail Able to follow detailed instructions consistently Comfortable working independently with online tools Preferred, but not required Previous experience with Outlier, Handshake, DataAnnotation, Scale AI, or similar AI training platforms Experience with AI response evaluation, data annotation, QA, or content review Software development or other technical background Bachelor’s degree Previous AI training experience is helpful, but not required. Candidates who can think critically, follow instructions carefully, and explain their reasoning clearly are encouraged to apply. Some projects may require a short AI-based interview, assessment, or qualification task before work begins. When applying, please briefly tell us about your background and any relevant experience with AI training, LLM evaluation, Outlier, data annotation, quality review, or technical work.

We are seeking an experienced Full-Stack/AI Developer to create an automated capture-to-proposal pipeline. The platform will integrate opportunity tracking with automated RFP parsing, compliance matrix creation, and draft proposal generation. The ideal candidate will have a strong background in both full-stack development and AI technologies.

We are seeking a detail-oriented professional to review and evaluate AI-generated outputs based on strict evaluation criteria. The role requires exceptional attention to detail and availability to conduct 15+ hours of evaluation per week on an ongoing basis. DESCRIPTION OF ACTIVITY This job involves evaluating a high volume of AI-generated natural language outputs. Outputs you will review include text passages, chat exchanges, statements of fact, and recommendations. Your job will be to identify specific types of issues in these outputs based on defined criteria, and then label and describe each issue. You will work inside a proprietary evaluation platform that displays the data for your review and includes fields for you to input evaluation. NOTE ON AI USE You may not use AI to assist you in completing this work in any way, as this violates both our security policy and the core methodology of this work. SERVICE LEVEL AGREEMENT To maintain the rapid feedback loop necessary for this work, we adhere to a 48-hour turnaround time (SLA) for all evaluations. While you have flexibility in choosing when you work your 15+ hours per week, this is not a role where hours can be batched into a single day. Reviewers are expected to log into the task queue at least 2-3 times per work week (ie. roughly every other day) to clear pending tasks. REQUIREMENTS Candidates must: - be located in the US - have strong ability to read and analyze content written in English - bring exceptional attention to detail - adhere to strict evaluation criteria involving analysis of natural language - pass background check and adhere to very strict security/confidentiality requirements All candidates must have at least one prior job in AI evaluation. Please make sure to describe related prior work in your cover letter.

I need someone who can help me build out an internal AI workflow that collects hundreds of large PDFs, extracts dozens of data points from the PDFs, and stores them in a database. The workflow should be able to handle large volumes of data efficiently and accurately. Experience with AI and data processing is essential.

• Proven experience building with the Anthropic/Claude API (or comparable LLM APIs) in production settings • Experience with document/presentation generation workflows (PowerPoint, Google Slides, or similar) • Strong understanding of prompt engineering and structuring AI agents for repeatable business tasks • Ability to translate a non-technical team’s operational pain points into a working technical solution • Clear communicator, comfortable scoping ambiguous requirements into a phased build To apply, please share: • Relevant past projects (especially any AI agent/automation builds) • Your general approach to a project like this Ideally this is an Ai expert who has worked with Interior Design firms that use Claude and other possible Interior Design Ai programs to increase deliverables and productivity of team members and efficiencies.

I’m running a real estate investment platform called ToInvested.com. The project is about 90% finished, and most of the code was built with Claude together with another engineer. Now I need a senior engineer to step in, review the full product carefully, test every major workflow, and help verify that everything is working correctly before it goes live. This is not just a “write more code” role. I need someone who can look at the platform like a real product, find hidden bugs, catch weak logic, test edge cases, review the AI-generated code, and tell me honestly what is ready and what still needs fixing. Because this is a real estate investment platform, accuracy and trust matter a lot. Users may rely on property data, investment logic, calculations, and AI-driven insights, so even small issues can create a serious problem later. The ideal person has strong full-stack experience, understands AI-assisted development, and has a good testing mindset. Real estate tech experience would be a big plus, especially with property platforms, investment tools, marketplaces, mortgage systems, or financial workflows. My main goal is simple: I want someone to break the project before real users do. If you’re the kind of engineer who can take a nearly finished product, test it deeply, clean up weak areas, and help make it production-ready, I’d be happy to talk.

We are a Managed IT Services Provider (MSP) serving small and mid-sized businesses (typically 10–100 employees) and have built our reputation on long-term client relationships and trusted technology advice. Our clients are increasingly asking us to help them adopt AI. We're looking for an experienced AI consultant to become an extension of our team and provide strategic guidance, solution design, and technical leadership. This is an ongoing partnership rather than a one-time project. What We're Looking For We are looking for someone who has successfully designed and implemented AI solutions for businesses and can confidently guide clients from initial discovery through implementation. You should be able to understand a client's business, identify where AI can provide meaningful value, recommend the appropriate technologies, build an implementation roadmap, and support our engineering team throughout the project. Our internal team will perform much of the implementation. We need someone who can provide the expertise, architecture, and strategic direction. Responsibilities You will work alongside our sales and engineering teams to: Join client discovery meetings Evaluate business processes and identify AI opportunities Recommend practical, ROI-focused AI solutions Help clients understand available AI technologies and select the right approach Design solution architecture Build implementation plans and project roadmaps Create scopes of work and technical requirements Assist with client presentations and proposal development Advise our engineers during implementation Provide ongoing consultation as projects evolve Required Technical Expertise You must have deep, hands-on experience with: Anthropic Claude (prompt engineering, Projects, MCP, API integrations, enterprise use cases, workflow design, and best practices) OpenAI / ChatGPT (GPT models, API usage, Assistants/Agents, function calling, enterprise deployments, and integrations) Microsoft 365 Copilot You should be the person our team turns to when deciding which model to use, how to architect a solution, and how to solve complex implementation challenges. Additional Experience Preferred Experience with several of the following is highly desirable: Microsoft Azure AI Google Gemini AI agents and autonomous workflows Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Vector databases Knowledge management systems AI governance and security Business process automation Power Platform n8n Make Zapier CRM, ERP, and line-of-business integrations Custom AI application development The ideal consultant: Has led multiple successful AI implementations for businesses Understands both the technical and business sides of AI Can communicate effectively with executives as well as engineers Knows when AI is, and is not, the right solution Stays current with the rapidly changing AI landscape Can translate business problems into practical AI implementations Can implement lower cost solutions for smaller companies with limited budgets Typical Engagement A typical engagement might include: Meeting with a client's leadership team Understanding their workflows and business challenges Identifying the highest-value AI opportunities Recommending the appropriate technologies and architecture Estimating project effort and ROI Helping present recommendations to the client Supporting our engineering team during implementation Remaining available as a technical advisor as needed To Apply Please include: Your background designing and implementing AI solutions for businesses. A representative AI project you've personally led, including the technologies used and measurable business outcomes. Your experience with Claude and OpenAI, including APIs, enterprise deployments, and complex workflows. Your experience with MCP, AI agents, RAG, and business process automation. How you typically conduct an AI assessment for a new client. We're looking for a long-term strategic partner who can become the AI expert for our organization and help us deliver exceptional AI solutions to our clients.