We are seeking a technology professional—ideally a business owner, consultant, founder, technical leader, or team manager—to mentor a group of high school students as they work on a real project for your business. Students will spend four weeks tackling a business challenge, initiative, or project that you'd like completed but haven't had the bandwidth to prioritize. The goal is to provide your organization with fresh perspectives, research, analysis, and actionable recommendations while giving students exposure to real-world technology and innovation challenges. This is a low-lift opportunity designed for busy professionals. The Work-Based Learning Alliance (WBLA) manages the entire student experience, including project scoping, internship structure, meeting agendas, milestones, student support, and stipend payment. Your role is simply to share your expertise, meet with students for one hour each Monday via Zoom (between either 9:30am–12:30pm ET or 3:30pm–6:30pm ET), and provide feedback on weekly deliverables. Total time commitment is approximately 2–3 hours per week over four weeks commencing June 29. Professionals who are excited to develop future talent while receiving meaningful insights and deliverables for their business are encouraged to apply. Projects could include: -AI tool evaluation and implementation research -Market research and competitive analysis for software, technology, or digital products -Product feature analysis and solution design -Process improvement and workflow automation opportunities -Technology trend research and emerging technology assessments -Marketing, technical documentation, or product positioning assets Key skills include: -Knowledge of technology, software, IT, AI, cybersecurity, data, or digital products -Ability to mentor and provide constructive feedback -Strong communication and interpersonal skills -Experience leading technical projects, teams, products, or business initiatives

We are building a next-generation workflow automation platform that combines deterministic business rules, artificial intelligence, document intelligence, and human review workflows into a single operating system. This is not a traditional CRM project. Our vision is to develop a doctrine-driven platform where business rules serve as the system authority, AI serves as an analytical and drafting layer, and human reviewers serve as the final compliance checkpoint. We are seeking an experienced engineer or engineering partner who can help architect and build the platform from the ground up. Project Objectives The platform will: • Ingest and analyze large volumes of structured and unstructured documents • Extract data from reports, PDFs, and supporting documentation • Apply rule-based workflow logic • Generate AI-assisted recommendations and draft outputs • Maintain complete audit trails and workflow transparency • Route work through human review checkpoints • Support future deployment of local AI infrastructure for privacy and performance Core Architecture The system will be built around four primary layers: 1. Rules Engine * Deterministic business logic * Workflow orchestration * State management * Trigger and escalation logic * Audit tracking 2. AI Layer * Document analysis * Classification * Pattern detection * Summarization * Draft generation * Structured outputs 3. Local Processing Layer * OCR * Document parsing * Data extraction * Vector search * Local inference capabilities * Privacy-first processing 4. Human Review Layer * Quality assurance * Workflow approvals * Compliance review * Exception handling Initial Development Priorities Phase 1 • User authentication • Client record management • Document upload system • OCR and document extraction • Workflow engine • Rule-based status management • Review dashboard Phase 2 • AI-powered document analysis • Automated classification • Recommendation engine • Draft generation workflows • Response parsing Phase 3 • Local AI infrastructure • Vector database integration • Knowledge retrieval system • Multi-agent workflow orchestration • Advanced automation Desired Technical Experience Required • React / Next.js • Node.js, Python, or similar backend framework • PostgreSQL or equivalent relational database • REST APIs • Cloud infrastructure (AWS, Azure, or GCP) • Workflow automation systems • Document processing pipelines Preferred • OpenAI APIs • Anthropic APIs • Retrieval-Augmented Generation (RAG) • LangGraph, LangChain, or similar frameworks • Vector databases • OCR technologies • AI agent architectures • NVIDIA AI ecosystem • Local model deployment What We Are Looking For We are not looking for someone who simply builds forms and dashboards. We are looking for a builder who understands how to combine: • Rules engines • Artificial intelligence • Workflow automation • Human review systems • Scalable software architecture The ideal candidate enjoys solving complex business process problems and translating expert decision-making into software systems. Engagement Structure Open to: • Fractional CTO • Lead Architect • Senior Full-Stack Engineer • AI Systems Engineer • Development Agency • Long-term strategic technology partner To Apply Please provide: • Relevant project examples • Experience building workflow automation platforms • Experience with AI-powered applications • Technology stack recommendations • Estimated availability • Preferred engagement structure

We are a U.S.-based professional services firm looking for a finance operations systems architect / fractional controller to help design a scalable accounting and finance operations system. We already have bookkeeping support. We are not looking for someone to do routine bookkeeping. We need someone who can design the workflows, controls, dashboards, reporting cadence, and automation opportunities that our bookkeeper and admin team can operate going forward. The project will focus on building a finance operating system around: Monthly close workflow AR and collections cadence Cash visibility Client balance and reserve/deposit tracking Financial reporting dashboards SOPs and handoff to the bookkeeper Automation opportunities using QuickBooks Online, bank tools, spreadsheets, Zapier/Make, AI tools, or similar systems The ideal person thinks like a finance operator and systems designer. You should be able to look at a manual process, identify the control risk, simplify the workflow, and design a repeatable system. This will likely start with a paid diagnostic, then move into a 60–90 day implementation project.

The Boston Foundation, one of the nation's oldest and largest community foundations, is looking for a senior, independent Salesforce / Pardot (Marketing Cloud Account Engagement) Architect for a focused, fractional engagement. We're at an inflection point on our marketing operations and communications strategy. The work here will inform our Pardot configuration but also our 2-3 year roadmap, including an honest recommendation on whether Pardot remains the right long-term tool for us. THE ROLE We're looking for an architect and mentor, not a hands-on configurator. Our internal team will own the build and the environment after you exit. Your role is to architect, produce documented blueprints, and coach the team through implementation. SCOPE Three phases over 8-12 weeks, roughly 50-70 total hours. Phase 1, Discovery & Audit (15-20 hours): Salesforce/Pardot connector audit, automation rule mapping, data discrepancies, and a written platform fit recommendation. Phase 2, Architecture & Blueprinting (15-20 hours): A simplified attribute data model and a documented endpoint specification for subscription and preference management that an external website front end will consume. Phase 3, Implementation Oversight (20-30 hours): Weekly working sessions coaching the internal team through configuration changes. WHAT WE'RE LOOKING FOR - Salesforce Certified Marketing Cloud Account Engagement Consultant (the legacy Pardot Consultant credential is fine). - Strong written deliverables: blueprints, API specs, data models. Not just verbal guidance. - A mentor disposition. The team you're coaching will own the system long after you're gone. - Enough breadth across the marketing automation landscape to give us an honest comparative read on platform fit, not just a Pardot defense. - Comfortable using AI tools in your own workflow and transparent about how you use them. We assume good practitioners are using AI to work faster and better, and we'd rather hear how you're doing it (and coach us on it where relevant). - Nonprofit Salesforce experience preferred. DETAILS Target start: June 2026. Working sessions: Remote, US business hours. Rate is open to discussion within the posted range based on experience. This is an invite-only posting. We are evaluating final few candidates.

We are a small residential real estate investment company seeking an AI Solutions Architect to enhance our acquisition platform. The role involves designing and implementing AI solutions to improve data analysis and decision-making processes. The ideal candidate will have experience in AI architecture and a strong understanding of real estate data analysis.

Description We are a US-based software company that already runs AI coding agents in daily engineering work. We are looking for a senior agentic development expert to help us push further. This is a specialist engagement, not an entry-level or generalist AI role. We want someone who has done this for real teams shipping production code and can go deep quickly. The engagement starts with a focused review of how we use agents today and where they can safely take on more, followed by a practical plan we can act on. Specifics are shared under NDA once we shortlist. You are a strong fit if you: - Have designed and rolled out agentic development workflows for a production engineering team, with results you can point to - Know Claude Code at an expert level: harness setup, context management, custom skills and slash commands, subagents, hooks, and MCP - Have integrated agents into an existing codebase and CI, including automated review and guardrails - Can advise on running agents securely around proprietary code and secrets - Can assess a team's current setup and turn it into concrete, sequenced steps This is probably not the right fit if: - Your experience is mostly personal projects, tutorials, or casual use of AI chat tools - You have used AI coding tools but have not set up team-level workflows or guardrails - You are a generalist looking to branch into AI Nice to have: - Python backend and web application experience - Experience with automated, agent-driven code review and test workflows Engagement: - Remote, expert-level rate - Short initial engagement with potential to extend - Some availability for scheduled, recorded calls - NDA required before we share specifics To apply (proposals without these will not be considered): - A specific example of an agentic development setup you built for a team, what you designed, and the outcome - The AI coding agents you have worked with and the depth of that work - Links to anything that shows your work (skills or agent configs, writeups, repos, demos), if you can share them

Project Description We are looking for a highly proactive digital advertising and AI operations specialist to help us grow and operationalize a niche healthcare directory and AI-powered marketing platform serving specialized providers across the United States and Canada. This is not a basic virtual assistant role. This is not a task-only ad management role. We are looking for someone with a digital advertising first background who can work with our emerging AI operating system to help build, improve, and automate the systems behind provider profile promotion, Meta ad campaigns, creative production, client reporting, AI chat summaries, and recurring revenue growth. The right person will help us turn our current ideas, workflows, campaigns, reporting, and AI tools into a more scalable operating system. We are looking for a go-getter who can think, build, test, recommend, improve, and help us move faster. What We Are Building We operate a specialized healthcare directory with provider profiles, membership tiers, local awareness campaigns, and a developing AI operating system. Our growth model includes: Provider directory profiles Profile upgrades Localized Meta ad campaigns Advanced profile-promotion campaigns AI Chat Assistants on provider profile pages Monthly transparent performance reports Archived AI chat summaries Website chatbot upgrade opportunities Workflow automation AI-assisted reporting Future operating-system tools for participating providers We need someone who can work with our team and AI OS architect to help build the operational layer around this business. What You Will Help With Digital Advertising & Campaign Support You will help build and improve repeatable Meta ad campaign workflows. This may include: Creating Meta/Facebook/Instagram traffic campaigns Helping structure profile-promotion campaigns Developing ad creative concepts and variations Writing or improving ad copy Helping organize campaign naming conventions Helping create UTM structures Reviewing campaign performance Identifying opportunities to improve campaign results Helping standardize how campaigns are launched and reported The goal is to make campaigns easier to launch, manage, measure, and scale across many participating providers. Creative & Video Support You should be comfortable helping with simple creative production and short-form content. This may include: Editing short videos for Facebook/Instagram ads Repurposing provider-submitted video content Creating social-ready video clips Adding captions, light branding, and simple visual polish Creating Canva or CapCut templates Helping create reusable creative formats Testing new messaging angles Thinking creatively about how to educate patients in a simple, trustworthy way You do not need to be a Hollywood-level video editor, but you should be capable of producing clean, usable digital ad creative. AI OS Workflow Development You will work with our developing AI operating system and our technical AI architect to help improve workflows. This may include: Identifying tasks that can be automated Helping design campaign setup workflows Helping design monthly reporting workflows Helping design client communication workflows Helping organize archived AI chat summaries Helping document repeatable processes Helping test AI-assisted workflows Helping identify what the OS should do next We are not looking for someone who waits to be told every step. We want someone who can look at a process and say: “This can be improved.” “This can be automated.” “This should be templated.” “This should be reported differently.” “This would help us move more clients to the next level.” Reporting & Client Transparency A major part of the role will be helping us build impressive monthly reports for participating providers. Reports may include: Campaign creative used that month Campaign messaging promoted Profile visits Phone clicks Website clicks Contact actions Other micro-conversions AI Chat Assistant activity Archived chat transcript summaries Common patient questions Common patient concerns Conversion improvement recommendations Suggested next steps We want our monthly reporting to feel much more transparent and useful than a standard digital marketing report. The right person will help us create reports that providers actually value. Growth & Upgrade Path Support We are building a product ladder that moves providers from basic directory visibility into deeper AI-powered services. You will help us improve the workflows that move clients from: Basic profile visibility To promoted profile campaigns To advanced profile campaigns To website AI Chat Assistant adoption To deeper AI operating system adoption This role requires someone who understands that campaigns, reporting, creative, automation, and client communication all work together to create recurring revenue growth. Who We Are Looking For We are looking for someone entrepreneurial, proactive, and curious. The ideal candidate: Has a strong digital advertising background Has experience with Meta/Facebook/Instagram ads Understands funnels, conversion paths, and client reporting Can think strategically about how to grow recurring revenue Has basic video editing or short-form creative experience Is comfortable using AI tools Is interested in workflow automation Can document processes clearly Can make recommendations without waiting to be told Is comfortable working with a developing AI operating system Likes building systems, not just completing tasks Can work independently and bring ideas to the table We do not need a pure software developer. We do not need someone who only follows instructions. We need a digital growth operator who can help us build the machine. Helpful Experience Experience with any of the following would be helpful: Meta Ads Manager Facebook/Instagram traffic campaigns Facebook/Instagram lead generation campaigns Google Analytics 4 Google Tag Manager Looker Studio GoHighLevel or similar CRM platforms Zapier, Make, n8n, or similar automation tools Canva CapCut Descript Adobe Premiere ChatGPT, Claude, or other AI tools AI workflow design CRM workflows Local business marketing Healthcare, wellness, or professional services marketing Directory or membership platform marketing SEO/GEO workflows Client reporting dashboards You do not need to know all of these, but you should be comfortable learning and experimenting. Initial Project Focus The first phase will likely focus on helping us build a repeatable workflow for profile-promotion campaigns. This may include: Reviewing our current workflow Helping define a repeatable Meta campaign structure Creating reusable creative templates Creating reusable reporting templates Helping map how the AI OS can assist with campaign setup and reporting Helping design the monthly report structure Identifying areas where the process can be automated Documenting the workflow so it can be repeated across many providers We will likely use one provider profile as the initial test case before expanding the workflow across more participating providers. What Success Looks Like Success in this role means: Campaign workflows become easier to launch Creative production becomes more repeatable Reporting becomes more transparent and impressive AI-assisted workflows become more useful Manual tasks become systematized Processes are clearly documented Upgrade opportunities become easier to identify Clients receive better insight into performance The business becomes less dependent on one-off manual execution The system improves every month Important Note This role is for someone who wants to help build and improve a growing system. We are not looking for a passive contractor who waits for a checklist. We are looking for someone who can bring ideas, spot gaps, improve workflows, and help turn a niche healthcare directory and AI-powered marketing platform into a scalable growth engine. How to Apply Please include a short response answering the following: What is your experience with Meta/Facebook/Instagram advertising? What is your experience with AI tools or workflow automation? What is your experience with video editing or ad creative? What is an example of a campaign, workflow, system, or process you helped improve? Why does this type of entrepreneurial digital advertising and AI operations role interest you? Please do not send a generic cover letter. We are looking for someone who can think, build, and help us grow.

I’m looking for an AI Engineer to help build an automated red-teaming product based on open-source models. This is a short-term, hands-on project for around 2 months, with an expected commitment of about 20 hours per week. The goal is to build a specialized red-teaming engine that can generate adversarial prompts across different risk domains, severity levels, and attack strategies — then automatically run those prompts against target AI models to identify bad cases, failure patterns, and safety gaps. 🔍 What you’ll work on Build red-teaming systems on top of open-source LLMs, including fine-tuning, prompt optimization, evaluation pipelines, and model orchestration. Design automated prompt generation workflows across risk domains such as self-harm, hate, violence, sexual safety, misinformation, fraud, cyber, and other high-risk areas. Generate prompts across different harm levels, from benign edge cases to policy-borderline and clearly unsafe scenarios, while maintaining structured taxonomies and evaluation criteria. Run automated tests against target models such as Gemma, Llama, Qwen, or other open-source / closed-source models to surface jailbreak patterns, over-refusal, under-refusal, and policy inconsistencies. Build feedback loops that turn model failures into stronger red-team prompts, improved eval sets, remediation recommendations, and continuous safety testing. 🧠 What I’m looking for Hands-on experience with open-source LLMs, fine-tuning, LoRA / QLoRA, RAG, model evaluation, and LLM inference pipelines. Familiarity with AI safety, red teaming, adversarial prompting, jailbreaks, safety evals, or trust & safety systems. Ability to build end-to-end systems, including data pipelines, model serving, eval harnesses, scoring, dashboards, and automation workflows. Bonus if you’ve worked on model safety, content moderation, policy evaluation, agentic testing, or automated eval infrastructure. ⏳ Project setup Duration: around 2 months Time commitment: about 20 hours per week Format: flexible / remote-friendly Stage: early-stage build, from 0 to 1 🚀 Why this is interesting This is not about manually writing red-team prompts one by one. The goal is to build a scalable system that can continuously generate, test, categorize, and learn from model failures — helping teams understand where AI models break, why they break, and how to improve them. If you enjoy working with open-source models, AI safety, red teaming, and fast 0-to-1 product building, I’d love to chat. Feel free to DM me if this sounds like you, or if you know someone who might be a good fit.

e’re looking for a Technical Marketing Lead to work directly with the founder to execute, optimize, and scale growth initiatives. This is a hands-on execution role for someone who combines strong marketing expertise with technical capabilities. You should be comfortable using Claude, Claude Code, Cursor, Codex, ChatGPT, MCPs, AI agents, HubSpot, Google Ads, SEO tools, social media platforms, and marketing automation systems to execute campaigns at scale. We have already built a strong AI-powered operating system for marketing execution. Through Claude Code, Claude Code SDK, MCPs, connectors, automations, and integrated marketing tools, many workflows can be executed, automated, and optimized directly from AI-driven systems. We’re looking for an executor, not a strategist or consultant. You are a marketer first, but highly technical. You are a daily user of Claude, Claude Code, Cursor, Codex, ChatGPT, or similar AI tools. You understand modern growth marketing and are comfortable using APIs, AI agents, MCPs, automations, and integrations to execute faster than traditional marketing teams. You should have hands-on experience with: * HubSpot CRM and strong email marketing experience. * SEO and content marketing * PPC campaigns (Google Ads, Bing Ads, Meta Ads, LinkedIn Ads) * Social media growth and distribution * Marketing automation and lead nurturing * Analytics, reporting, and performance optimization Basic coding skills (JavaScript, HTML/CSS, scripting, automations) is preferred

AI Integration & Automation Specialist (OpenAI / ChatGPT): We’re an advertising agency looking for an experienced AI specialist to help build an AI-powered business infrastructure. Your role will be to integrate ChatGPT/OpenAI with the software we use every day, automate workflows, and help us identify opportunities to improve efficiency across the business. Responsibilities: * Integrate OpenAI with our existing software stack * Build custom workflows using APIs and automation platforms * Connect tools such as Microsoft 365, Outlook, HubSpot, Wrike, QuickBooks, WordPress, and other business applications * Develop AI assistants for operations, sales, project management, marketing, reporting, and customer service * Recommend scalable AI solutions and best practices * Document all work for future maintenance Requirements: * Strong experience with OpenAI APIs * Experience with APIs, MCP, Zapier, Make.com, n8n, or similar automation platforms * Strong understanding of business process automation * Ability to communicate with both technical and non-technical teams * Excellent English