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.

We are a technology services firm supporting client projects in applied machine learning. We are looking for a senior machine learning engineer or applied scientist on contract to support model evaluation, training, and fine-tuning work. This is a hands-on role. We need someone with real machine learning fundamentals who has built, trained, and improved production models, rather than someone whose experience is primarily API integration. WHAT THE WORK INVOLVES - Designing and running model evaluation frameworks and benchmarks - Training and fine-tuning models for production use cases - Computer vision work including classification, detection, OCR, segmentation, and document or image understanding - Multimodal systems combining image and text or multiple data sources - Error analysis and iteration on underperforming models - Advising on dataset strategy, labeling approach, model selection, and experiment design BACKGROUND WE ARE LOOKING FOR - Machine Learning Engineer, Applied Scientist, or Research Engineer experience - Deep Python and strong PyTorch - Production experience with training pipelines and model evaluation - Ability to explain tradeoffs and recommendations clearly to client stakeholders ENGAGEMENT - Contract through Upwork with potential for ongoing work - Flexible hours with responsiveness expected during US business hours - Work performed under a subcontractor agreement covering confidentiality, IP assignment, and non-solicitation - We are only responding to independent contractors, not agencies. TO APPLY Send a short summary of your relevant work with links to GitHub, publications, or project writeups.

We're an AI-intensive software company, and we're looking for someone who genuinely loves helping people get set up and succeed. Here's the job in a nutshell: when a customer says "I'm ready to sign up," you make it happen. You create their account, walk them through every stage of onboarding, and dig into the small details of what they actually need. No two setups are exactly alike, and the people who are great at this role are the ones who notice the micro nuances and get them right. What you'll be doing: Creating accounts and guiding new customers through the full onboarding process, start to finish Hopping on calls and video meetings with customers to get them live and keep them happy Learning each customer's specific needs and training our AI within our parameters so it works the way they need it to Following up with customers who go quiet, because sometimes people just need a nudge Juggling multiple customers and setups at once without letting anything slip Who does well here: You lead with urgency to serve. When someone's ready to go, you move. You're organized enough to keep several onboardings in the air at the same time, and you're comfortable talking to customers face to face on video. An engineering background is a nice plus since our product is technical, but it's not required. What matters more is curiosity and attention to detail. Don't worry about knowing our product on day one. We'll give you all the training you need. If this sounds like you, we'd love to talk. Company that is growing at a pretty moderate pace.

Senior Instructional Designer, E-Learning Developer, and Technical Training Video Producer Project: LMI Service Electrician Qualification and Development Program Lighting Maintenance Inc. is seeking an experienced instructional designer and e-learning developer to help create a comprehensive training and qualification program for our service electricians. This is not a request for a generic online course, a basic safety presentation, or simple video editing. We need someone who can take existing technical content, operating standards, employee evaluations, raw field video, photographs, procedures, and subject-matter-expert input and turn them into professional, practical, mobile-friendly training for field employees. The completed training will be delivered and tracked through the MITER Learning platform. The Type of Professional We Are Looking For The ideal contractor is a senior instructional designer or learning-experience developer who also has strong multimedia and technical video-production capabilities. The contractor should be able to: Design competency-based workforce training. Organize complex technical material into clear learning modules. Work with electricians, managers, safety personnel, and other subject-matter experts. Develop e-learning courses, assessments, job aids, and practical-evaluation tools. Edit raw field footage into professional training videos. Develop narration and voiceover. Add instructional graphics, diagrams, animation, labels, callouts, captions, and visual explanations. Package and implement training in an LMS. Help configure learning paths, certifications, assignments, completion rules, and reporting inside MITER. Deliver all editable source files so LMI can maintain the training internally. One individual may perform all of this work, or the applicant may lead a small production team. Any subcontracting must be disclosed in the proposal. About LMI Lighting Maintenance Inc. is an established electrical contractor specializing in: Roadway and street lighting. Commercial and industrial lighting. Electrical service and troubleshooting. Sports lighting. Traffic signals. Exterior and parking-lot lighting. Aerial and bucket-truck work. High-mast lighting. Underground electrical systems. Related electrical infrastructure and field services. Our employees work in real field conditions, often independently, using service vehicles, aerial equipment, test instruments, electrical controls, and specialized equipment. The training must reflect the practical reality of field service work. Project Purpose LMI is developing a formal Service Electrician Qualification and Development Program. The program must help us determine: What an electrician already knows. What the electrician can actually demonstrate in the field. What specific training gaps must be addressed. When the electrician is qualified to work independently. What vehicles, equipment, and work assignments the electrician is authorized to receive. What restrictions remain until additional training or verification is completed. This is a competency-based qualification program. Watching a video or passing a quiz will not, by itself, qualify an employee. The training must connect online learning with written assessment, practical demonstration, supervised field performance, evaluator approval, and final management authorization. Existing Program Materials LMI has already developed substantial source material, including: A detailed service-technician evaluation. A 150-item competency and qualification matrix. Qualification levels. Mandatory safety and performance gates. Core curriculum-module outlines. Written assessment concepts. Practical evaluation stations. Supervised service-call requirements. Customer-communication standards. Documentation standards. Vehicle and equipment requirements. Employee authorization and restriction criteria. Draft lesson content, scripts, scenarios, questions, and training material developed with AI assistance. Internal electrical, safety, fleet, service, and management subject-matter experts. The contractor will not be starting with a blank page. The contractor’s responsibility will be to convert these materials into a consistent, professional, effective, and manageable training system. Core Curriculum Modules The initial program is expected to contain the following ten modules: The LMI Service Standard. Dispatch, Scheduling, and Daily Preparation. Timekeeping and Productive Use of the Day. Service Vehicle and Take-Home Vehicle Responsibility. Electrical Safety and Field Judgment. The LMI Troubleshooting Process. Lighting and Electrical Systems. Customer Communication and Customer Experience. Documentation and Work-Order Closeout. Productivity, Profitability, and Quality. Additional qualification or endorsement tracks may later be created for: Bucket-truck operation. Digger-derrick operation. CDL Class A and Class B. Traffic-signal work. Sports-lighting work. Underground fault locating. High-mast work. Traffic-control setup. Apprentice or helper supervision. Emergency and after-hours response. Take-home vehicle authorization. Senior troubleshooter or mentor. Technical evaluator. Training Formats The program may include: Short mobile-friendly e-learning lessons. Instructor-led training. Field demonstrations. Professionally edited training videos. Voiceover and narration. Photographs and technical diagrams. Animation and motion graphics. Knowledge checks. Final written assessments. Practical skills checklists. Manager and evaluator observation forms. Employee job aids. Field-reference guides. Scenario-based exercises. Supervised service-call evaluations. Remedial training assignments. Certification and requalification records. The contractor should recommend the most appropriate format for each subject rather than forcing every topic into the same type of course. Raw Field Video and Multimedia Production LMI will provide raw video recorded in the field. The footage may show: Electrical troubleshooting. Lighting repairs. Controls and contactors. Photocells and time clocks. Meter use. Pole bases and handholes. Bucket-truck work. Vehicle inspections. Safety practices. Customer-service procedures. Documentation procedures. Specific field techniques. Correct and incorrect methods. The raw footage may not be professionally recorded. The contractor will be responsible for converting usable footage into clear, professional training material. Responsibilities will include: Reviewing and organizing footage. Selecting the strongest usable sections. Removing unnecessary, unclear, repetitive, or unusable footage. Editing demonstrations into concise and logical sequences. Improving pacing, audio quality, and visual clarity. Developing or refining narration scripts. Providing professional voiceover or coordinating approved voice talent. Adding titles, captions, labels, arrows, callouts, freeze frames, zooms, and highlights. Creating graphics, diagrams, illustrations, or animation where the raw video does not fully explain the concept. Adding closed captions and transcripts. Protecting customer names, locations, license plates, employee information, and other sensitive material when required. Preparing content for mobile delivery through MITER. Creating shorter field-reference clips when appropriate. Providing LMI with all editable video-project files and production assets. When existing footage is insufficient, the contractor must provide clear filming instructions to LMI, including: Required camera angles. Close-up shots. Wide shots. Demonstration sequence. Required lighting and audio. Talking points. Narration requirements. Safety considerations. Additional photographs or graphics needed. The final product should not consist of long, unedited videos showing employees working. Each training segment must clearly explain: What task is being performed. Why the task is being performed. How each step should be completed. What hazards must be controlled. What common mistakes should be avoided. What acceptable performance looks like. How the employee’s competence will be evaluated. MITER Learning Platform Implementation The training will be delivered and tracked through MITER. The contractor should be able to assist LMI with: Course setup. Custom learning content. SCORM or other compatible course packaging where appropriate. Learning-path configuration. Assignment by job role or employee level. Course prerequisites. Quiz and assessment setup. Instructor-led training records. Practical training records. Completion requirements. Certification tracking. Expiration and renewal dates. Manager reporting. Training reminders. Remedial training. 30-day and 90-day follow-up reviews. Administrator training. Testing the employee mobile experience. Direct experience with MITER is preferred but not mandatory. Applicants with strong LMS experience who are willing to work directly with MITER support will be considered. Initial Paid Pilot The initial engagement will be a fixed-price pilot. The pilot module will be: The LMI Troubleshooting Process This module will teach a repeatable process for diagnosing electrical and lighting service problems rather than randomly replacing parts. The pilot may include scenarios such as: One failed parking-lot fixture. Multiple fixtures out on one circuit. Photocell failure. Time-clock failure. Contactor or control-circuit failure. LED driver failure. Loose or damaged connections. Neutral problems. Water intrusion. Pole-base damage. Underground circuit problems. Incorrect replacement-component selection. Pilot Deliverables The pilot should include: Final learning objectives. Recommended lesson structure. Detailed course outline. Course storyboard. Mobile-friendly e-learning content. Instructor or narration scripts. At least one professionally edited field-training video. Voiceover integrated into the finished video. Supporting technical graphics and visual callouts. Knowledge checks. Final written assessment. Answer key and scoring requirements. Practical demonstration checklist. Supervisor or technical-evaluator observation form. Employee field-reference job aid. Remediation requirements for failed competencies. MITER-ready files or course package. Assistance uploading and testing the course in MITER. Written instructions for maintaining and updating the course. All editable source files. All video-editing project files. Separate graphics, audio, scripts, captions, and production assets. Recommendations for improving future LMI field video. Required Experience Applicants should have demonstrated experience in: Instructional design. Adult learning. Corporate or workforce training. Competency-based training. E-learning development. Practical skills assessment. Mobile learning. LMS implementation. Technical writing. Working with subject-matter experts. Video editing. Voiceover-based instruction. Technical graphics and diagrams. Scenario-based learning. Course testing and quality control. Experience with any of the following is strongly preferred: Electrical contracting. Construction. Skilled trades. Utilities. Industrial maintenance. Field service. Fleet operations. Equipment operation. Occupational safety. Manufacturing. Technical certification programs. Applicants do not need to be licensed electricians. However, they must be comfortable working with detailed electrical and field-service subject matter and accepting technical direction from LMI. Preferred Authoring and Production Tools Experience with the following or comparable tools is preferred: Articulate Rise 360. Articulate Storyline 360. Adobe Captivate. Camtasia. Adobe Premiere Pro. Adobe After Effects. DaVinci Resolve. Adobe Illustrator. Adobe Photoshop. Vyond. Canva. SCORM course-development tools. Professional audio and captioning tools. Applicants should explain which tools they recommend and why. Technical and Compliance Approval The contractor will not have final authority to approve: Electrical procedures. Safety requirements. OSHA interpretations. Legal or regulatory statements. Wage-and-hour policies. Vehicle policies. Employee qualification decisions. LMI operating standards. All technical, safety, legal, HR, and operating content must be reviewed and approved by LMI’s designated personnel before publication. The contractor must have an organized process for obtaining and documenting those approvals. Ownership and Confidentiality All materials created under this engagement will become the property of Lighting Maintenance Inc. upon payment. This includes: Drafts. Final courses. Scripts. Storyboards. Graphics. Illustrations. Animations. Assessments. Answer keys. Templates. Voiceover files. Audio files. Video project files. Source files. SCORM packages. MITER-ready files. Job aids. Practical evaluation forms. Production assets. The contractor may not reuse or publish LMI procedures, photographs, video, customer information, employee information, or proprietary training content without written approval. A confidentiality agreement may be required. Application Instructions Please begin your proposal with the words: LMI Qualification Program Proposals that do not begin with those words may not be reviewed. Please provide: A brief description of your relevant experience. Two or three examples of comparable technical, industrial, construction, or workforce-training projects. Examples of e-learning courses you personally developed. Examples of training videos created from raw field or operational footage. Examples showing voiceover, instructional graphics, callouts, diagrams, animation, or technical explanations. A description of your competency-based training experience. A description of your practical skills-assessment experience. The authoring, video, audio, graphics, and LMS tools you use. Your experience with SCORM and LMS implementation. Any experience with MITER. Any experience in construction, electrical work, utilities, skilled trades, safety, fleet, or field service. Your proposed approach to the troubleshooting pilot. Your proposed fixed price for the pilot. Your estimated schedule for completing the pilot. Your estimated budget range for developing the remaining nine modules. Confirmation that LMI will receive all editable source and production files. An explanation of whether voiceover will be performed by you, professional voice talent, or artificial intelligence. Identification of any work you intend to subcontract. An explanation of how you obtain technical approval from subject-matter experts. An explanation of how you distinguish course completion from demonstrated field competence. Screening Question Please answer the following question in your proposal: A customer reports that several parking-lot lights are out. Explain how you would divide this topic among: Online instruction. Field video. Graphics or diagrams. Written assessment. Practical demonstration. Supervised field observation. Final employee qualification. We are looking for an applicant who understands that watching a video and passing a quiz do not prove that an electrician can safely and independently troubleshoot the problem. Selection Process Shortlisted applicants may be asked to: Participate in a video interview. Review a limited sample of LMI’s existing material. Explain how they would convert a technical competency into a complete training and evaluation process. Develop a brief paid storyboard or sample. Meet with an LMI technical subject-matter expert. Demonstrate prior e-learning, LMS, and video-production work. Explain how they would organize and maintain the complete training library. Engagement Structure The initial engagement will be awarded as a fixed-price pilot with defined milestones. Potential milestones include: Review of source material. Learning objectives and recommended design. Course outline and storyboard. Draft script and video plan. First course draft. Technical and safety review. Video editing and multimedia production. Assessment and practical evaluation development. MITER upload and testing. Final revisions. Delivery of all source files. Administrator handoff. Successful completion of the pilot may lead to development of the remaining curriculum modules and additional LMI qualification programs.

I just received a brand-new 2026 MacBook Pro with the following specs and need a skilled professional to configure it from the ground up for powerful, fully agentic AI workflows tailored to construction: • Apple M5 Max chip (18-core CPU / 40-core GPU – built for AI) • 16.2-inch Liquid Retina XDR display • 48 GB unified memory • 2 TB SSD • Wi-Fi 7 Goal: Turn this machine into an easy-to-use, “set it and forget it” AI assistant that handles construction business tasks with minimal input from me. I have zero coding experience and need everything to work through simple interfaces (point-and-click, voice if possible, clear dashboards, or natural language prompts). The system must feel reliable and beginner-friendly. Primary Use Cases I Need Fully Agentic AI For: 1. Email Management • Automatically read, categorize, prioritize, draft replies, and follow up on construction-related emails (bids, RFIs, change orders, supplier communications, client messages). • Smart filtering of spam vs. important project emails. • Ability to generate professional responses in my tone. 2. Bidding & Proposal Workflows • Help create, refine, and manage construction bids/proposals. • Analyze bid documents, extract key requirements, suggest pricing strategies, and flag risks. • Maintain an organized system for tracking multiple open bids. 3. Organizing Bids & Excel Integration • Automatically pull bid data into clean, structured Excel worksheets (or Google Sheets if preferred). • Create and update templates for cost breakdowns, quantity takeoffs, labor/material pricing, timelines, and profit margins. • Keep historical bid data organized so I can reuse and improve future bids. • Generate summary dashboards or reports from the Excel data. 4. Overall Construction Workflow Support • Connect the above tools so the AI can act agentically: e.g., receive an RFP email → extract requirements → start a bid draft → populate an Excel cost sheet → flag missing info → prepare a response email. • Prefer tools that can run locally or with strong privacy where possible, given the powerful M5 Max hardware. What I Expect from You: • Full initial setup and configuration of the MacBook (macOS optimization for AI workloads, recommended apps, security best practices, Time Machine/backup strategy, etc.). • Research, recommend, install, and configure the best current AI tools/agents that work well on Apple Silicon for these tasks (examples of areas to evaluate: email agents, document AI, spreadsheet automation, multi-agent frameworks that are user-friendly). • Create simple, documented workflows I can follow without coding. Provide clear written/video instructions or a one-page “cheat sheet.” • Test everything end-to-end with sample construction emails, bid docs, and Excel files. • Optimize for the M5 Max’s AI capabilities (leverage the high core count, unified memory, and GPU where beneficial). • Recommend any paid subscriptions or free alternatives and explain trade-offs in plain language. • Ensure the system is stable, private where possible, and easy for a non-technical user to maintain. Preferred Skills & Experience: • Strong experience with macOS (especially Apple Silicon / M-series chips) • Hands-on expertise with modern agentic AI tools, LLM agents, and automation platforms that require little or no coding • Familiarity with construction, estimating, bidding, or project management workflows is a big plus • Experience setting up AI email assistants, document processing, and Excel/Google Sheets automation • Excellent communication skills — ability to explain everything in simple, non-technical language • Proven track record of delivering complete, ready-to-use systems for non-technical clients Deliverables: • Fully configured MacBook ready for daily use • Documented step-by-step workflows for email, bidding, and Excel • Recommended tool stack + login/setup credentials handed over • Short training session (video call or recorded) so I understand how to use everything • Optional ongoing support package for the first 30 days Project Type: One-time project with the possibility of ongoing support/maintenance. Budget: Please propose your best fixed-price or hourly rate based on the scope. I’m looking for quality and reliability over the cheapest option. Include an estimate of total hours or fixed price in your proposal. Timeline: I’d like the core setup completed within 1–2 weeks of starting, with training shortly after. To Apply: Please include: 1. Relevant past experience setting up AI workflows on Mac (especially Apple Silicon). 2. Specific tools or approaches you would recommend for agentic email + bidding + Excel automation. 3. Confirmation that you can deliver a no-code/low-code solution suitable for a complete beginner. 4. Your proposed timeline and pricing. 5. Any questions you have about my construction workflow. Looking for a reliable expert who can make this powerful new MacBook Pro feel like a true AI-powered construction assistant from day one. Thank you!​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

We are seeking an experienced, analytical, collaborative, and self-driven **Implementation Consultant** to lead successful customer implementations and help clients translate their sales strategy, technology, and AI initiatives into scalable, executable workflows. This role sits at the intersection of **sales strategy, sales technology, AI, implementation, enablement, and project management**. You will work directly with clients to understand their business goals, sales processes, technology stack, outbound strategy, and AI use cases, then translate those requirements into effective systems, workflows, and processes. You will own implementations from kickoff through launch and adoption, ensuring each client has the technology, processes, AI workflows, enablement, and operating cadence required to achieve measurable results. The ideal candidate understands how high-performing sales organizations operate, has strong experience with **Outreach**, and is comfortable working hands-on with modern AI platforms such as **ChatGPT/GPT, Claude, and Gemini**. You should understand prompt engineering, how to build repeatable AI workflows, and how to translate business requirements into scalable AI-enabled processes. This position reports to the **Implementation Manager**. ## What You’ll Do ### Own Customer Implementations * Lead end-to-end customer implementations from kickoff through launch, adoption, and transition. * Serve as the primary implementation partner and trusted advisor for assigned clients. * Manage multiple client implementations simultaneously while maintaining clear timelines, deliverables, and communication. * Translate customer goals and business requirements into actionable implementation strategies. * Establish clear expectations, milestones, responsibilities, and success criteria at the beginning of each engagement. * Help create a predictable, repeatable, and scalable implementation methodology. ### Understand the Customer’s Sales Motion * Develop a deep understanding of each customer’s business, sales organization, target market, outbound strategy, technology stack, and performance goals. * Evaluate existing sales processes, workflows, messaging, technology utilization, and performance measurement. * Conduct discovery sessions, needs assessments, and gap analyses to identify opportunities for improvement. * Understand the customer's value proposition, personas, segmentation strategy, sales process, messaging framework, and value-based selling methodology. * Identify opportunities to improve the effectiveness, scalability, and efficiency of the customer’s outbound motion. ### Outreach Implementation & Optimization * Configure, implement, and optimize **Outreach** based on customer requirements and sales strategy. * Build and optimize sequences, workflows, triggers, tasks, rulesets, templates, snippets, user settings, governance, and administrative configurations. * Help customers establish scalable Outreach processes and platform best practices. * Evaluate how Outreach integrates into the customer's broader CRM and sales technology ecosystem. * Identify opportunities to automate repetitive workflows and improve seller productivity. * Conduct testing and quality assurance to ensure configurations function as designed. * Advise administrators and sales leaders on Outreach adoption, governance, reporting, and ongoing optimization. ### AI Prompting & Workflow Development * Design, test, and refine AI prompts that support sales, prospecting, research, personalization, messaging, enablement, and operational workflows. * Build reusable prompt frameworks that generate consistent, high-quality outputs at scale. * Work hands-on with AI platforms including **OpenAI / ChatGPT / GPT models, Claude, and Gemini**. * Translate business requirements and sales methodologies into structured AI instructions and workflows. * Develop AI-powered processes for use cases such as: * Account and prospect research * Email personalization * Persona-based messaging * Value proposition development * Call preparation * Objection handling * Sequence creation * Lead and account prioritization * Data enrichment and summarization * Sales coaching and enablement * Build multi-step AI workflows that combine data, prompts, business logic, and sales technology. * Create prompts with clear context, inputs, instructions, guardrails, formatting requirements, and output criteria. * Test AI outputs for accuracy, relevance, consistency, tone, and usability. * Diagnose poor AI outputs and improve prompts, context, logic, or workflow structure accordingly. * Help customers understand when AI should augment a workflow versus when traditional automation or human judgment is more appropriate. * Develop scalable AI workflows that can be consistently adopted across teams rather than relying on one-off prompting. * Stay current on emerging AI capabilities and identify practical applications within sales and revenue workflows. ### AI Strategy & Enablement * Help customers identify high-value opportunities to incorporate AI into their sales processes. * Assess existing AI usage and identify gaps, inefficiencies, and opportunities for automation. * Consult customers on responsible and effective use of generative AI within their organization. * Develop prompting standards, AI workflow documentation, and repeatable best practices. * Train customers on how to effectively use GPT, Claude, Gemini, and other AI tools in their daily workflows. * Teach users how to provide appropriate context, structure prompts, evaluate outputs, and iterate on AI-generated content. * Help customers move beyond individual AI usage toward standardized, operationalized AI workflows. ### Build the Implementation Strategy * Develop detailed implementation plans outlining project scope, timelines, milestones, owners, dependencies, and required resources. * Develop a clear strategic roadmap for the customer’s implementation and future-state sales motion. * Help customers establish an effective operating cadence for managing and optimizing outbound performance. * Identify implementation risks, blockers, and dependencies early and develop mitigation plans. * Ensure alignment between customer objectives, technology capabilities, AI workflows, and project scope. ### Develop Processes & Best Practices * Help clients design scalable outbound processes aligned with industry best practices. * Develop workflows and processes that improve seller productivity, consistency, personalization, and execution. * Advise customers on how best-in-class sales organizations structure outbound programs. * Evaluate how performance should be measured across activity, execution, conversion, adoption, and outcomes. * Establish repeatable processes that customers can maintain after implementation. * Capture measurable performance improvements and opportunities for continued optimization. ### Training & Enablement * Lead customer training sessions, workshops, and enablement programs. * Educate administrators, managers, and end users on Outreach, AI workflows, prompting, and implemented processes. * Develop documentation, prompt libraries, training materials, implementation guides, and best-practice resources. * Translate technical functionality and AI concepts into practical workflows that sales teams can easily understand and adopt. * Answer customer questions and provide strategic and tactical guidance throughout implementation. * Support customers in developing continued learning and adoption plans after launch. ### Change Management & Adoption * Help customers manage organizational and workflow changes resulting from new technology, processes, and AI adoption. * Develop adoption strategies, communication plans, and rollout recommendations. * Identify potential resistance, adoption risks, or process gaps and proactively address them. * Partner with customer leadership to drive accountability and adoption across sales teams. * Ensure customers are prepared to successfully operate and optimize their technology and AI workflows following implementation. ### Data, Systems & Integrations * Support data migration, configuration, and workflow implementation activities when required. * Coordinate the movement and utilization of data between sales systems. * Validate data quality, accuracy, and completeness throughout the implementation process. * Understand how CRM data, Outreach data, third-party data, and AI inputs work together within customer workflows. * Partner with technical resources on integrations, APIs, automations, and more complex technical requirements. * Identify data-related issues that could impact AI output quality, workflow effectiveness, or successful launch. ### Project Management * Own internal and external project management for assigned implementations. * Maintain project plans, timelines, action items, risks, dependencies, and decision logs. * Drive stakeholders toward deadlines and proactively escalate potential blockers. * Coordinate across internal teams to ensure implementations remain on track. * Communicate project status, risks, accomplishments, and next steps clearly to internal and external stakeholders. * Ensure implementation issues are documented, prioritized, and resolved quickly. ### Reporting & Continuous Improvement * Track implementation milestones, customer engagement, platform adoption, AI workflow adoption, and key performance indicators. * Capture pre- and post-implementation performance improvements where applicable. * Provide clear implementation progress updates and documentation. * Maintain accurate project records and customer communication. * Identify patterns and lessons learned across implementations. * Use implementation insights to improve processes, documentation, prompts, workflows, enablement, and customer experience. * Contribute to the continued development of implementation methodologies and best practices. ## What We’re Looking For * 2+ years of experience in implementation, customer onboarding, consulting, sales operations, revenue operations, sales enablement, or a similar client-facing role. * Hands-on experience managing multiple customer implementations or projects simultaneously, ideally **8+ active accounts or projects at a time**. * At least 1 year of hands-on experience with **Outreach**. * Strong working experience with generative AI platforms such as **ChatGPT, GPT models, Claude, and/or Gemini**. * Demonstrated experience writing, testing, and optimizing AI prompts. * Experience building repeatable AI workflows rather than relying solely on ad hoc AI prompting. * Ability to structure prompts using context, variables, business rules, examples, constraints, and defined output formats. * Understanding of how AI can be applied to sales prospecting, personalization, messaging, research, coaching, and sales operations. * Experience working within a B2B technology, SaaS, sales technology, or revenue technology organization. * Strong understanding of how high-performing companies build and execute outbound sales strategies. * Understanding of sales engagement platforms, sequencing, workflows, personas, account segmentation, messaging, and sales process design. * Ability to translate business objectives into technical configurations, AI prompts, and executable workflows. * Strong project management and organizational skills. * Strong customer-facing communication, presentation, and facilitation skills. * Ability to build credibility with sales leaders, administrators, RevOps teams, and frontline sellers. * Ability to balance strategic thinking with detailed tactical execution. * Strong analytical and problem-solving skills. * Intellectual curiosity and the ability to quickly learn new AI tools, technologies, and workflows. * Ability to independently manage priorities, deadlines, stakeholders, and competing projects. * Comfortable operating in a fast-paced, continually evolving environment. ## Preferred Qualifications * Previous experience in a quota-carrying sales, SDR, BDR, sales management, sales enablement, or RevOps role. * Experience designing or managing outbound sales programs. * Experience implementing or administering Outreach. * **Outreach Administrator Certification strongly preferred.** * Experience building AI-powered sales or revenue workflows. * Experience creating sophisticated prompt libraries or GPT-based workflows for business users. * Experience working across multiple LLMs, including OpenAI, Anthropic Claude, and Google Gemini. * Familiarity with APIs, webhooks, automation platforms, structured data, or no-code/low-code workflow tools is a plus. * Experience consulting with clients on sales process, sales technology, AI, or revenue operations. * Experience with CRM and adjacent sales technology platforms. * Bachelor’s degree preferred. ## What Success Looks Like A successful Implementation Consultant will: * Consistently launch customer implementations on time and within scope. * Create a seamless and highly consultative customer experience. * Build strong relationships and credibility with customer stakeholders. * Translate outbound strategy into practical Outreach configurations, processes, and workflows. * Build AI prompts and workflows that produce reliable, scalable, high-quality outputs. * Help customers operationalize AI rather than simply experiment with it. * Drive strong customer adoption of Outreach, AI workflows, and newly implemented processes. * Identify risks before they become implementation blockers. * Demonstrate measurable improvements in customer execution, productivity, and performance. * Continuously improve implementation methodologies, AI prompts, documentation, and best practices. * Help create a scalable, predictable, and repeatable implementation motion.

UpFlip is looking for a part-time Course Creation Expert to help us build practical, high-quality courses for UpFlip Academy. UpFlip is a business media brand with 1.7M+ YouTube subscribers and an audience of aspiring and existing entrepreneurs who want to start, grow, and operate better businesses. Unlike traditional course companies, we work directly with ACTIVE, successful business owners who are still running the business they teach about. Your job will be to help turn their expertise into clear, actionable courses people can actually follow. Here you can check out some of the courses we've developed: https://www.upflip.com/courses/business WHAT YOU'LL DO: - Work directly with business owners to develop course outlines and structure - Help turn their knowledge and experience into detailed lesson content - Identify gaps and ask the right questions to make sure nothing important is missed - Develop exercises, examples, resources, templates, and other supporting course materials - Prepare courses for filming and make sure instructors know exactly what needs to be covered - Review filmed lessons and work closely with our video editors to bring each course to completion - Pay close attention to details, accuracy, flow, and overall course quality - Help improve our course creation process as UpFlip Academy grows YOU'RE A FIT IF: - You have experience creating online courses, educational content, curriculum, or training programs - You’re excellent at taking someone’s expertise and organizing it into a logical, easy-to-follow structure - You’re a strong researcher and know how to fill knowledge gaps using AI - You ask great questions and can pull valuable information out of subject-matter experts - You have exceptional attention to detail - You’re comfortable reviewing video content and giving clear feedback to editors - You understand that a great course should produce a real outcome, not just provide information This will start as a part-time position. If you perform well and are interested, there may be an opportunity to grow into a full-time role as we expand UpFlip Academy. APPLICATION QUESTIONS: 1. Tell us about your experience creating online courses, curriculum, or educational content. 2. Please share 2–3 courses or educational projects you’ve helped create. What exactly were you responsible for? 3. How comfortable are you working with video editors and reviewing filmed lessons for missing information, clarity, pacing, graphics, examples, or other improvements? 4. How do you identify gaps in an expert’s knowledge or explanation when building a course? 5. How would you rate your attention to detail on the scale of 1 to 10?

We’re hiring U.S.-based AI Trainers to review AI-generated responses for accuracy, reasoning, and clarity. Preferred backgrounds: Math, Statistics, Computer Science, Engineering, Biology, Chemistry, Physics, Healthcare, Finance, Economics, or related fields. Requirements: Based in the U.S. Relevant educational background preferred No professional experience required Good written English and attention to detail

About us: Luxe Intelligence is a Baltimore based AI consulting firm. We design and deliver custom AI agent systems for business clients, including regulated industries, with a growing security and government-adjacent practice. We design the system and own the client relationship. You build to spec. The kind of work: Real examples of project types on our roadmap: - Data matching and compliance checking agents that cross-reference large lists (10,000+ rows) with no shared ID, using fuzzy name matching, confidence scoring, and human review flags - Research agents that pull from defined sources and produce structured memos with citations, and say "unverified" instead of guessing - Workflow automations across webhooks, spreadsheets, CRMs, Slack, and email - Read and write-back integrations with systems of record like Salesforce - Deployments inside client cloud environments with audit logging and security review support Must haves: - Strong Python, including pandas and API work - Hands-on experience with LLM APIs (Anthropic, OpenAI): prompt design, structured outputs, cost control - Fuzzy matching or entity resolution experience on real data - Cloud deployment on AWS, Azure, or GCP - Security-minded engineering as a habit, not an afterthought: secrets management, least-privilege access, encryption in transit and at rest, audit trails, human-in-the-loop review steps - Clear written English and documented handoffs Nice to have: - A real cybersecurity background: security engineering, compliance frameworks (SOC 2, NIST, FedRAMP awareness), or secure deployment in regulated environments - US citizenship with eligibility for a government security clearance, or an active clearance, is a plus and worth mentioning - Make.com or similar automation platforms - Salesforce API - Experience answering client security questionnaires How we work: Fixed-price milestones scoped from agreed hour estimates, paid on delivery and approval. NDA signed before any project details are shared. No client contact; all communication runs through Luxe. Some overlap with US Eastern hours. Every engagement starts with one small paid test milestone. Strong performance can grow into a larger ongoing role. To apply, answer these four things, and start your reply with the word CHARCOAL so we know you read this far: 1. Describe a fuzzy matching or entity resolution project you built. How big was the data, and how did you score confidence? 2. Describe an LLM-powered system you deployed into someone else's environment. What broke, and how did you fix it? 3. Estimate this: two lists, about 10,000 rows and 2,000 rows, no shared ID. Need matches, confidence scores, and a monthly flagged-items report. Roughly how many hours, broken down however makes sense to you? 4. Your hourly rate, your weekly available hours, and any security or clearance background.

AI Automation Architect – Build an AI Workforce for Small Business Project Type: Fixed-Price – Phase 1 Potential: Additional phases for the right person About the Project I am looking for an experienced AI automation specialist to help me begin building an AI workforce, not simply a collection of disconnected automations. The first implementation will be for an event venue business, but the larger goal is to create a scalable AI ecosystem that can eventually support multiple businesses and my personal brand. I already have a customer-facing website chatbot being implemented separately. This project is primarily focused on the backend AI workforce and automation infrastructure. The Vision I ultimately want specialized AI employees that can work together and handle functions such as: * Sales & Lead Management: capture leads, update the CRM, qualify prospects, conduct follow-up, answer questions, nurture leads, schedule tours, and move prospects toward booking. * Email & Administrative Support: monitor incoming emails, identify priorities, summarize messages, draft or handle routine responses where appropriate, and escalate items requiring human attention. * Content & Marketing: brainstorm ideas, research relevant topics and trends, maintain content calendars, turn stored business knowledge and uploaded assets into content ideas/drafts, and support multiple brands. * Business/Strategy Support: research opportunities, brainstorm initiatives, organize information, identify patterns, and provide actionable recommendations. * Operations: eventually assist with recurring business processes, reminders, customer communication, documentation, and other repetitive administrative work. I do not expect all of this to be built during Phase 1. I am sharing the larger vision because I want the initial architecture built with expansion in mind. Phase 1 – Backend Sales AI Employee The first priority is creating an AI-powered sales and lead-management system for the event venue. It should ideally: 1. Capture inquiries from the website chatbot and other lead sources. 2. Store and organize leads in the CRM. 3. Trigger intelligent follow-up through appropriate channels. 4. Continue nurturing leads rather than relying on me to manually follow up. 5. Recognize where a prospect is in the sales process. 6. Support tour scheduling and booking progression. 7. Answer routine questions using the business knowledge base where appropriate. 8. Escalate conversations to a human when necessary. 9. Maintain context/history so the system knows what has already happened with each lead. 10. Be designed so additional AI employees and workflows can later connect to the same ecosystem. Architecture Matters I am intentionally trying to minimize unnecessary monthly subscriptions. I understand that some tools, APIs, hosting, CRM, messaging, or AI usage will have ongoing costs. I am not expecting a zero-cost system. However, I do not want an architecture that requires purchasing a separate SaaS platform for every AI employee or business function. I am interested in solutions using tools such as APIs, automation/orchestration platforms, databases, AI models, and reusable workflows where appropriate. The system should ideally be: Modular • Scalable • Transferable • Well documented • Cost-conscious • Not unnecessarily dependent on one vendor If you recommend a paid platform, please explain why it is necessary, what it replaces, and its expected monthly cost. What I Need From You In your proposal, please briefly explain: 1. How you would architect Phase 1. 2. What technology stack you would recommend. 3. What recurring subscriptions/costs would be required. 4. What you would build versus what would rely on third-party SaaS. 5. How the architecture could later support multiple specialized AI employees. 6. What data/memory layer you would use so agents can share relevant business knowledge and customer history. 7. How you would prevent the system from becoming a collection of disconnected automations. 8. Your fixed-price quote for Phase 1. 9. Your estimated completion timeline. Please do not simply send a generic list of AI tools. I am particularly interested in understanding how you think about the overall architecture. Ideal Candidate You may be a strong fit if you have experience with AI agents, APIs/webhooks, CRM integrations, workflow automation, LLMs, databases/knowledge bases, email automation, lead nurturing, and multi-agent or agentic system design. Experience building revenue-generating sales automation is especially valuable. Long-Term Opportunity Phase 1 is intentionally focused. If the architecture and implementation are successful, I would like to continue building additional AI employees and business workflows in future phases. The goal is not to create another dashboard I have to manage. The goal is to create a digital workforce that takes repetitive work off my plate, operates behind the scenes, knows when human judgment is required, and ultimately gives me more time to focus on relationships, strategy, revenue, and growth.