About ZeremAI ZeremAI is a premier AI and Automation implementation consultancy that future-proofs businesses. We specialize in cutting-edge AI agents, intelligent systems automation, and real-time AI-assisted KPI dashboards across all business departments. Our "Align–Automate–Achieve" methodology bridges the gap between technology and measurable impact, helping teams reclaim up to five days of productivity weekly per employee, allowing organizations to focus on their core mission. Position Overview: We are looking for an AI Technical Account Manager who thrives at the intersection of systems architecture and client partnership. This role is for a high-presence communicator who takes pride and care about Customer Success and can translate complex AI and automation workflows into clear, actionable business wins and communicate them with the AI Development team. You are an AI Technical Account Manager at heart—someone who possesses the technical depth to design sophisticated systems but whose real superpower is leading the client relationship. You’ll be the face of our delivery team, ensuring our clients don't just get a tool, but a transformed business process they actually enjoy using. Key Performance Indicators (Success Metrics): -100% successful deployment rate of AI and automation solutions. -Ensure systems adoption success scores reach 95%+ -Increase customer productivity by 20% to 100%+ through AI automation. -Increase customer KPI achievement rate by 2x through intelligent dashboards. -Maintain 97% or higher customer satisfaction rating for solution delivery. Core Client Responsibilities: Strategic Client Leadership: - Relationship Management: Act as the primary technical point of contact, managing expectations and leading clients through the "Align–Automate–Achieve" journey with confidence. - High-Impact Communication: Lead discovery calls and project updates with clarity and brevity. You are the concise expert—getting to the point quickly and making complex concepts clear and simple to non-technical customers. - Client Success Orientation: Prioritize the "human" side of the implementation, ensuring the solution solves the client’s actual pain points rather than just being technically correct. Solution Architecture & Discovery: - Workflow Mapping: Conduct process audits to identify gaps and translate messy business problems into clean system requirements. - High-Level Design: Architect automation ecosystems using Make, Zapier, Airtable, HubSpot, and other systems, ensuring all pieces of the tech stack talk to each other seamlessly. - AI Integration: Leverage LLMs (OpenAI, Claude, etc.) to enhance productivity and build smarter business logic for clients. Delivery & Adoption: - Implementation Oversight: Work with the internal dev team to ensure the blueprints you designed are built to spec and delivered on time. - The Final 10%: Lead the hands-on training and documentation phase, ensuring the client’s team feels empowered and capable, not overwhelmed. - Iterative Optimization: Monitor performance post-launch and proactively suggest enhancements to deepen the client relationship. Key ZeremAI Operations Responsibilities: - Collaborate with the Chief AI Officer and Strategy Officer to evolve ZeremAI’s systems playbook. - Lead the evaluation and adoption of new AI technologies and platforms. - Ensure solution designs align with the Align–Automate–Achieve methodology. - Create internal system frameworks, templates, and automation best practices. - Mentor and collaborate with AI Systems Developers to maintain high-quality standards. - Analyze reporting on architecture performance, ROI metrics, and adoption rates. The Ideal Profile: Technical Fluency (The "How It Works" Knowledge): - Systems Thinker: You understand the Big Picture of how APIs, CRMs, and databases interact. You don’t need to be the world’s fastest coder, but you must be a world-class architect. - Automation Stack: Deep familiarity with CRM, Project Management, Integration, and AI tools. - AI Expert: A solid grasp of how to practically apply AI/LLMs to business workflows. The Superpowers (Client & Communication): - Professional Presence: You carry yourself with a demeanor that builds immediate trust. You are concise, articulate, and mindful of the client’s time. - Concise Communicator: You avoid the Solution Architect Trap of over-explaining. You know how to give a "Yes/No" or a "Bottom Line Up Front" (BLUF). - Leadership: You can guide, educate, and—when necessary—firmly pivot a client toward a better strategic path. Qualifications: Required Skills & Experience - 5+ years of experience in systems consulting, operations, business automation, or a similar role. - 2+ years of AI expertise in a business context - Strong hands-on experience with automation tools (JSON, Zapier, Make, Airtable, etc.) and system integrations. - Working knowledge of project management and CRM platforms (e.g., Monday.com, HubSpot, Salesforce). - Familiarity with API usage, data flows, and basic scripting or logic-based automation. - Excellent problem-solving and process-mapping skills. - Clear written and verbal communication, especially with non-technical stakeholders. - Strong client-facing presence with the ability to guide, educate, and influence clients. Preferred Qualifications: - Experience in a fast-paced startup or agency environment. - Exposure to AI tools and understanding of their application in business settings. - Technical certifications in automation platforms (Zapier Expert, Make Partner, etc.). - Understanding of business functions like marketing, sales, operations, and finance. Soft Skills: - Demonstrate creativity in problem-solving by identifying innovative solutions to client challenges and operational obstacles. - Systems thinker with a knack for breaking down complex problems. - Highly organized, self-motivated, and able to manage multiple client projects simultaneously. - Collaborative team player who thrives in a remote-first work environment. - Passionate about technology, continuous improvement, and client success.

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.

We're a talent partnerships agency looking for an experienced Airtable and automation expert for an ongoing, flexible retainer role. We need a true problem-solver who looks at our entire business and workflow and designs smart, simplified solutions, not someone who just builds exactly what's asked without considering the bigger picture. We have a high-volume database (300k+ records) with multiple datasets that aren't perfectly connected, and we're running a multi-phase plan to enrich, connect, and automate across all of it. *Immediate project (starting now): Integrating two third-party data APIs into Airtable: - Apollo: ongoing contact enrichment using job-change detection to push updates into staging columns automatically, plus enrichment on new contacts. The more straightforward of the two. - Winmo: pulling verified brand, contact, and agency-to-brand relationship data, matched to our existing records via stored IDs. More involved, since it requires linking incoming data to the correct existing records (some as linked records) rather than creating duplicates. Both feed into staging columns alongside our existing data, with a review-and-approve step before anything updates our live records (non-destructive enrichment). Larger phased plan (where the long-term role goes): The APIs are just the start. From there we're building toward AI-powered data enrichment across our full database, an automated outreach and follow-up system modeled on one we already run, and ongoing automation and workflow optimization across the board. We want someone who can own this roadmap with us, bring expertise we don't have in-house, and simplify a complex system rather than add to it. What we're looking for: - Strong Airtable expertise: analysis, troubleshooting, architecture, and workflow strategy, not just automation building - Strong Make (Integromat) and Zapier experience (required) - Third-party API integration experience (required) - Experience with AI/LLM API integration (OpenAI or similar) and structured data workflows (strongly preferred) - Webflow experience (a plus) - Someone who delivers polished, end-to-end solutions and thinks about the whole workflow, so we're not stuck making endless adjustments down the line - A genuine collaborator who brings ideas and expertise, rather than relying on us to design the solution and just executing it Important on pricing: We're looking for someone who quotes a flat fee per project upfront, based on your own hourly rate and time estimate, rather than billing open-ended hourly. For ongoing support we'd set up a retainer. This structure matters to us, so please confirm you're comfortable working this way. This is a reliable, long-term relationship for the right person, with steady work across data enrichment, AI, and automation. Please share relevant experience with similar Airtable, API, and automation projects, and how you typically structure project versus retainer pricing.

Thrive Commerce is seeking an experienced freelance sales automation specialist to design and implement an AI-driven outbound sales and lead generation system. Thrive Commerce helps eCommerce retailers increase conversion rates, shopper engagement, and revenue through personalized promotions and offer optimization technology. We currently utilize HubSpot as our CRM and have an existing database of companies and contacts loaded into the platform. While HubSpot is our current system of record, we are open to adopting additional or alternative sales engagement platforms and email providers if they better support our objectives. Our primary goal is to increase the number of sales-qualified leads and booked meetings through a combination of LinkedIn outreach, automated connection requests and messaging, targeted outbound email campaigns, and AI-powered prospecting workflows. We are particularly interested in modern AI sales automation solutions that can effectively replace or significantly reduce the need for a traditional SDR function, leveraging tools such as Clay, Claude, Apollo, LinkedIn automation platforms, intent data providers, and other best-in-class technologies. The ideal candidate will have demonstrated experience designing and implementing scalable B2B outbound sales systems that generate measurable pipeline growth. Please include in your proposal relevant examples of similar projects, the technology stack utilized, key performance metrics achieved, and specific results related to increased qualified leads, meeting bookings, sales opportunities, or revenue generation. Budget flexible based on scope and experience.

I need an expert on Co pilot studio with a specific focus on agent optimization workflows. I have a handful of agents I need to work in parallel with one another and funnel up through a hierarchy to the master agents above. Looking to consult an expert to make this flow seamless, fast, and accurate for a project. Thanks!

Project Overview: We are a fast-paced law firm looking to optimize our entire case pipeline from client intake to matter closure. We use Bridge Legal for marketing intake, Clio for our Core Case Management System (CMS), Jubilee for our bankruptcy practice section, Google Calendar for scheduling court events, and Microsoft 365 (SharePoint/OneDrive) for document storage. Instead of building an expensive custom platform from scratch, we want to leverage a low-code automation system (n8n preferred, or Zapier) coupled with advanced AI APIs (such as Anthropic Claude or OpenAI) to handle data mapping, automated drafting, calendar triggers, and text alerts. Airtable will serve as the primary human control panel for our 17 staff members. Mandatory Legal Compliance & Insurance Prerequisites: Due to strict State Bar legal ethics regulations regarding the absolute confidentiality of client proprietary records, data safety is our highest priority. Do not apply if you cannot meet these criteria: 1. NDA: The selected contractor must sign a comprehensive Non-Disclosure Agreement (NDA) prior to receiving system access. 2. Liability Insurance: You must provide verifiable proof of active Professional Liability Insurance (Errors & Omissions) and Cyber Liability Insurance before contract execution. 3. Data Silo Constraints: All workflows must utilize commercial API tiers providing Zero Data Retention (ZDR). Client documents and pleadings must never be used to train public AI models. Key Scope of Automation Tasks: 1. Airtable Control Center: Build out the primary user interface directly inside Airtable, which is already utilized by our 17 staff members. All automated steps (Intake, Pleading Drafting, SMS triggers, and Case Closures) must be launched via Airtable button triggers, attachment fields, and status fields. The automation must capture the Airtable user metadata to maintain an internal audit trail before passing data to Clio. 2. Lead to Retainer: Catch webhook data from Bridge Legal, prompt an LLM to parse raw intake notes for names and deadlines inside Airtable, and automatically trigger a dynamic e-sign contract template (DocuSign/Gavel/HelloSign). 3. Payment to Clio/Jubilee Creation: Listen for payment webhooks (Stripe/LawPay) and use the Clio API to programmatically open the Account, Contact, and Matter. Our bankruptcy section uses Jubilee which is natively connected to Clio via a live sync. The candidate must ensure cases routed through our bankruptcy pipeline are cleanly initiated in Clio so that the native Clio-to-Jubilee data bridge operates smoothly without synchronization lag. 4. AI Answer Generation via SharePoint: Set up an automated folder monitor in Microsoft SharePoint. When a Plaintiff's Complaint PDF is uploaded, the automation must extract the text, run it through Claude 3.5 Sonnet to draft paragraph-by-paragraph denials, append a baseline library of Affirmative Defenses, and save a formatted .docx back to SharePoint and Airtable. 5. Google Calendar to Twilio Reminders: Check our synced Google Calendar daily for court appearances, look up the corresponding client phone numbers using Clio's API, and schedule automated text reminders via Twilio at 30, 7, and 1-day intervals. Implement protective logic (idempotency) to ensure a client is never double-texted. 6. Accounting & Case Closure: Read settlement figures from Airtable fields, query the Clio Expenses API to subtract advanced costs, calculate our firm split using formulas, and automatically execute a Clio API update to switch the matter status to "Closed." Airtable Schema Requirements: The candidate will design a relational, multi-view database structure in Airtable. This database will serve as the primary operational hub, containing tables for: • Table 1: Matters & Intake (Master ledger for lead parsing, case categorization, and user audit stamps). • Table 2: Automation Control Center (Action buttons for contract deployment, e-sign status webhooks, and the AI file drop zones). • Table 3: Settlement Ledger (Calculated currency tracking fields for Gross Settlement, Firm Fee %, Advanced Clio Costs, Medical Liens, and Net Client Payout). The backend code must interact directly with Airtable fields to manage state progression, receive user tracking data, deposit AI-generated documents, and pull transaction balances. Required Experience & Technical Proficiencies: • Proven track record building multi-step automations inside n8n or Zapier. • Experience authenticating and mapping data variables natively via the Clio API (v4), Google Calendar API, and Microsoft Graph / SharePoint API. • Demonstrated experience handling structured JSON payloads and dealing with API rate limits. • Strong understanding of AI prompt design for accurate textual parsing and document structural layout.

We are building a multi-step workflow automation for a healthcare-adjacent B2B service. The automation needs to pull structured data from a web portal, pass it to an AI API to generate personalized documents, route the output through a HIPAA-compliant email delivery platform, and log results for quality review. We are looking for a US-based developer experienced with Make.com or n8n and comfortable working with REST APIs. This is a fixed-price project with a clear scope document provided after an NDA is signed. Please share relevant portfolio examples of similar automation builds.

Project Capital Advisors (PCA) is seeking an experienced AI Solutions Architect to support a government modernization consulting engagement. The initial project involves helping a county government modernize its citizen telephone operations using Voice AI, workflow automation, and enterprise system integrations. The selected consultant will work directly with executive leadership and public sector stakeholders to assess existing operations, develop technical recommendations, and help define an implementation roadmap. Responsibilities include: * Leading technical discovery sessions with client stakeholders * Evaluating existing phone systems and call workflows * Designing Voice AI and Contact Center AI solution architectures * Recommending enterprise platforms and integration strategies * Creating technical documentation and architecture diagrams * Supporting project scoping, budgeting, and executive presentations Preferred experience: * Enterprise Voice AI or Contact Center AI * Twilio, Amazon Connect, Genesys Cloud, Five9, Retell AI, ElevenLabs, Azure AI, or OpenAI APIs * API integrations and workflow automation * Experience with government or other regulated industries is preferred Engagement Details: * Contract/Fractional * Approximately 10–20 hours per week initially * Remote with occasional travel * Opportunity for additional engagements as PCA expands its Government AI consulting practice Please review the attached position description for complete responsibilities, qualifications, and application requirements.

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.

We are a growing tax and bookkeeping firm located in Central Florida, serving individuals, small businesses, entrepreneurs, and international clients. We are looking for an AI Automation & Local SEO Specialist to help us improve client acquisition, automate repetitive processes, strengthen our online presence, and identify growth opportunities. This is an initial 2–3 month project with the possibility of a longer-term relationship if results are achieved. Our goals include: • Improving local SEO and Google Business Profile performance • Identifying opportunities to generate qualified leads • Implementing practical AI automations for our operations • Improving website performance and user experience • Automating lead follow-up and client communication • Recommending tools, systems, and processes that can help us scale efficiently • Helping us leverage AI to improve productivity and customer experience Important: We are NOT looking for someone to create social media posts or manage Instagram accounts. We are looking for a problem solver who can help us build systems, improve visibility, automate processes, and generate measurable business results. Preferred Qualifications: • Experience with Local SEO and Google Business Profile optimization • Experience with WordPress websites • Experience with AI tools, ChatGPT, OpenAI, Claude, AI agents, or business automation • Experience with lead generation systems and marketing funnels • Experience with CRM platforms and workflow automation • Experience working with accounting, tax, legal, financial, or other professional service firms is a plus • Spanish is a strong plus, since many of our clients are Spanish-speaking. Candidates who can communicate in both English and Spanish will receive special consideration. When Applying, Please Answer: 1. What similar projects have you completed? 2. What would be the first three improvements you would recommend for a tax and bookkeeping firm like ours? 3. What AI, automation, or SEO tools do you typically use? 4. Please provide examples of measurable results you have achieved for previous clients. 5. Why do you believe you would be a good fit for this project? We are looking for someone who can think strategically, execute effectively, and help us build systems that support long-term growth.