Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

We’re hiring an extraordinary developer to own and grow our Base44 apps and sales products. around the future of AI discovery 1. Future of AI Discovery Core Demo – https://pull-discovery-core.base44.app/ You’ll evolve https://pull-discovery-core.base44.app/ into a beautiful, fluid, high‑performance, full-functional future of AI discovery demo following our advanced and sophisticated technical blueprint Integrate and orchestrate AI models incorporating LLM's, Search and World Models into a seamless experience with no visible seams between UX and intelligence. Own front‑end performance, responsiveness, and micro‑interactions—animations, transitions, and state changes should feel intentional and “alive,” not bolted on. Implement robust logging and analytics to understand how users explore, where they get stuck, and how the discovery engine can adapt dynamically. 2. Book Sales Engine – Six‑Channel Publishing System The second current Base44 project is a system that operationalizes our comprehensive sales plan across six channels. SEE THE COMPREHENSIVE BOOKSALES PLAN ATTACHMENT UNDERNEATH THIS POSTING You will: Translate a detailed multi‑channel publishing strategy (KDP optimization, physical bookstores via IngramSpark, other digital platforms, libraries, bulk institutional sales, and authority‑engine content marketing) into concrete workflows, tools, and dashboards. Build internal interfaces and automations to: Track metadata, pricing, and promotions across Amazon KDP and other platforms. Monitor campaigns across TikTok, Meta, LinkedIn, YouTube, newsletters, and partnerships. Surface KPIs like BSR, review velocity, ad spend, email growth, library adoptions, and bulk orders in a single, coherent view. Design light internal UIs that make it easy for non‑technical team members to update copy, add titles, trigger campaigns, and view performance without breaking anything. Implement robust, testable integrations between Base44, external APIs, and data sources to keep everything in sync as we scale from 8 to 22+ titles and beyond. Who You Are We’re not looking for a generic “full‑stack dev.” We’re looking for an unusual combination of visionary and doer: Creative technologist mindset – You think in systems and interfaces at the same time. You care deeply about how a product feels as well as how it works. Obsessed with execution – You’re disciplined, structured, and relentless about shipping. You break ambiguity into sprints, reduce complexity into tickets, and never let projects stall. Proactive owner – You don’t wait for instructions. You propose better ways to do things, flag risks early, and bring options—not problems—to every conversation. Strong product sense – You can balance ideal UX with realistic constraints and understand when to ship v1 vs. when to invest in polish. Comfortable with complexity – Multi‑channel distribution, layered data flows, and evolving requirements don’t scare you; they energize you. Ideal Skills & Experience You don’t need all of these, but you should recognize yourself in most: 5+ years building production web applications, ideally with a strong front‑end/UI focus. Deep experience with modern web stacks (React/Vue/Svelte or similar) and TypeScript, plus comfort with Node or comparable back‑end runtimes. Strong visual/UI instincts: experience collaborating with designers or owning design yourself for data‑rich interfaces and dashboards. Experience integrating AI/LLM APIs and retrieval systems into real products (RAG flows, multi‑step tool use, chat‑like interfaces, recommendation engines). Experience with analytics and experimentation: event tracking, funnel analysis, A/B testing. Familiarity with publishing, ecommerce, or multi‑channel marketing systems is a plus (KDP, IngramSpark, email platforms, ad platforms, analytics). Prior work in environments like Base44 or other low‑code/agentic platforms is a strong plus, but not required if you learn fast.

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

We're building an internal PPC keyword research and automation system to support paid acquisition across two brands (legal finance / legal tech). This is a one-time setup project — fixed scope, defined deliverables. The goal is a repeatable keyword research workflow, the automation pipeline behind it, and an AI-assisted review layer for QA and recommendations on what we pull. This is NOT ongoing campaign management or attribution work — strictly system build-out and handoff. WHAT WE NEED BUILT Keyword research workflow combining SEMrush, SpyFu, SimilarWeb, and Google Keyword Planner into a single repeatable process Automation pipeline that pulls keyword and competitor data on a recurring basis, normalizes it, and stages it for review AI-assisted review layer that evaluates new keyword sets — flags relevance, suggests groupings, surfaces gaps and overlaps with current campaigns Output formats: cleaned, structured keyword lists ready for Google Ads import, plus a decision log we can audit Documentation so the system is hand-offable to our internal team REQUIRED SKILLS Strong PPC and keyword research experience (Google Ads, SEMrush, SpyFu, or comparable) Automation and scripting (Python, Node.js, or similar) for pulling and normalizing keyword data Comfortable wiring up LLM APIs (OpenAI, Anthropic, or similar) for AI review steps Familiarity with Google Ads structure (campaigns, ad groups, match types, negatives) Clean documentation habits — system should be operable without you NICE TO HAVE Legal, fintech, or B2B/B2C hybrid vertical experience Direct Google Ads API integration experience Past work on internal marketing tools or admin dashboards SCOPE & LOGISTICS One-time project, fixed scope Deliverable: working system + documentation, not ongoing optimization Hourly engagement, completable in a few weeks Async-friendly — communication via Upwork messaging with occasional video sync

⭐ JOB AD: Full Stack Java Developer (Hybrid – NJ Office Required for Initial Paid Assessment) Location: Mountain Lakes, NJ (Initial in‑office assessment required) Type: Contract → Long‑Term / Hybrid Compensation: Competitive, based on experience and performance We are expanding our engineering team as we scale our Revenue Generation Engine (RGE) and Autonomous OS — advanced AI-driven systems powering multiple client platforms. We are seeking a Full Stack Java Developer who is comfortable working across modern backend and frontend stacks, and who can execute clean, efficient, and secure development workflows. This role begins with a paid, in‑office technical assessment at our private NJ development office. This is standard procedure due to the sensitive nature of our systems and the proprietary architecture we maintain. ⭐ What You’ll Do (Initial Assessment Project) The first assignment is a small, well‑defined technical task designed to evaluate your baseline competency with standard development tools and workflows: - Setting up and running a project locally - Working with GitHub repositories - Re-establishing deployment pipelines (e.g., Netlify or similar) - Ensuring clean builds and proper CI/CD functionality These are foundational skills expected of any experienced developer. Successful completion unlocks access to larger, ongoing AI and enterprise projects. ⭐ What We’re Looking For - Strong experience with Java, Spring Boot, REST APIs, Microservices - Solid understanding of React/Angular, modern front-end workflows - Comfort with GitHub, CI/CD, cloud deployments (Netlify, AWS, GCP, Azure) - Ability to work efficiently, follow structured processes, and deliver clean execution - Professionalism, reliability, and strong communication - Ability to work on-site for the initial assessment (required) - Availability for hybrid or remote work afterward (project-dependent) ⭐ Why Work With Us - We are scaling rapidly and onboarding multiple developers - You will work directly with our architecture and AI systems team - Opportunity to grow into long-term, high-impact roles - Exposure to cutting-edge AI automation and enterprise-level systems - Competitive compensation with performance-based advancement - A culture focused on speed, precision, and innovation ⭐ How to Apply Please send: - Your resume or LinkedIn profile - Your standard rate (hourly or fixed) - Your availability for the in‑office paid assessment in Mountain Lakes, NJ Office We are moving quickly and evaluating candidates on a rolling basis.

**Overview** I'm the founder of Otti, a child water safety wearable launching on Kickstarter in early 2027. I need a skilled freelancer to build a professional lifestyle and product image library for my brand — approximately 55–85 finished images across 14 defined scenes, delivered in 2 weeks. This is not a job for someone who will generate images in ChatGPT and hand them back as-is. I need someone who uses AI image generation as a starting point and then precisely composites the actual product into each scene using Photoshop or an equivalent professional compositing tool — so the wearable and hub look identical, correctly sized, correctly lit, and photorealistic across every single image in the library. Consistency and photorealism are the two non-negotiables. If you can't commit to both, please don't apply. --- **The Work** The library covers three categories: **Lifestyle scenes** — AI-generated poolside, beach, lake, and backyard settings with our two products composited in. Parents with children, relaxed and safe. Varied ages, skin tones, and settings. **Clean product shots** — hub and wearable on white or neutral backgrounds. Starter pack, family pack, individual components, multiple angles. **Product education shots** — how the wearable band works, closure mechanism detail, back of device showing sensor area, interchangeable band system, and how the two-component system works together. Full shot list, brand guidelines, product reference images, and a detailed constraint document will be shared with shortlisted candidates. A paid test composite ($50–100) will be requested from 2–3 finalists before project award. --- **Your Skills** - AI image generation (Midjourney, ChatGPT/DALL-E, or equivalent) - Adobe Photoshop or equivalent professional compositing tool - Product mockup and visualization — placing physical products into lifestyle scenes with accurate scale, lighting, and shadow matching - Experience with consumer product or lifestyle brand imagery preferred --- **Your Application Must Include** 1. Portfolio examples showing AI-generated or stock lifestyle scenes with physical products composited in via Photoshop — not just AI-generated product images 2. A brief description of your exact workflow: which AI tool you use to generate scenes, and how you handle product compositing and lighting and shadow matching in post 3. At least 2 examples where you've composited a real physical product into a lifestyle image with accurate scale, lighting, and shadow Applications without portfolio examples showing actual Photoshop product compositing will not be considered. --- **Project Details** - 55–85 finished images across 14 scenes - Delivered in two sizes per image: 1080x1080px and 1080x1350px - PNG format, organized by scene in labeled Google Drive folders - 2-week delivery timeline - Mid-project check-in after first 2 scenes before completing the full library **Budget:** $750 fixed price --- **About Otti** Otti is a child water safety wearable — a wrist-worn sensor detects water immersion and triggers a 95dB standalone hub alarm in 2.5 seconds, no phone or app required. Patent pending. Pre-launch, bootstrapped, Kickstarter 2027. The imagery you create will be used across our website, social media, Kickstarter page, and manufacturer presentations. The right freelancer will have ongoing work as we grow.

THE OPPORTUNITY GR0 is looking for an SEO and communication enthusiast with a track record of delivering bespoke and extraordinary client support. As a Campaign Manager, SEO, you will manage 10-15 accounts and deliver GR0’s proven SEO strategies alongside our fast-growing GEO offering, helping clients rank on ChatGPT, Perplexity, Grok, and other LLM platforms. This is not traditional SEO alone. GEO is GR0’s biggest focus, and the demand from clients is immediate and enthusiastic. Every month, our clients will see more traffic from LLMs, and you will be on the front lines proving and communicating that ROI. We will train you directly on the tools, tactics, and messaging that drive retention and growth. If you are eager to shape the future of search and be part of a team leading the tidal wave of AI-driven discovery, we encourage you to apply. Open to remote candidates within the United States or local to Los Angeles and willing to commute to the office. WHAT YOU’LL DO: Serve as the primary contact for 10-15 accounts, maintaining 2 to 3 weekly touchpoints via email, Slack, and video calls. Build and execute SEO and GEO strategies by enabling LLM crawling, creating content pages for LLM indexing, and implementing technical site optimizations such as schema and structured data. Analyze performance using Google Analytics, Google Search Console, Ahrefs, and emerging AI and GEO tracking platforms to be rolled out across all clients. Clearly demonstrate ROI for clients, for example, showing monthly spend can generate measurable revenue. Project manage cross-functional deliverables across Content, Technical SEO, and Analytics to ensure seamless execution. Field and resolve client issues while maintaining trust and delivering a premium customer experience. Onboard new clients into SEO and GEO services with a streamlined, high-touch process. Identify opportunities for upsells in GEO and AI-powered services, working with sales and leadership to expand accounts. Stay on the cutting edge of SEO, GEO, and AI and LLM industry trends, and translate complex updates into actionable client communication. Mentor other Campaign Managers and serve as an escalation point for high-stakes accounts. Partner with leadership on department-wide initiatives including analytics platform adoption, GEO execution scaling, and training programs. WHAT YOU’LL BRING: A proven track record of exceptional client relationship management in an agency or high-volume digital marketing environment. 1 or more years of SEO or digital marketing experience in a client-facing role. Deep knowledge of SEO best practices, Google ranking algorithms, and emerging LLM and GEO visibility strategies. Experience successfully managing large portfolios of 10-15 accounts with diverse and competing priorities. Strong adherence to process and the ability to help build and scale new operating frameworks. Comfort presenting clear ROI and growth opportunities to clients and internal stakeholders. WHO YOU ARE: Passionate about SEO, AI, and the future of discovery through LLMs. Energized by serving clients and solving complex problems with creativity and clarity. Excited to learn directly from leadership and contribute to a rapidly scaling offering. Transparent, accountable, and a persuasive communicator. Skilled at balancing multiple client needs while maintaining rigor and attention to detail. Adaptive to change and eager to thrive in a fast-moving, startup-style environment.

I am looking for an experienced ASR engineer to build a production-ready speech-to-text system for a low-resource language. I already have approximately 3,000 prepared audio segments, totaling about 10 hours of audio, with clean and consistent transcripts ready for immediate use. Data preparation and segmentation are already handled. The initial 10 hours of audio will serve as the first milestone. After that, the engineer will be expected to continue training and improving the model with additional data until the system reaches a target WER of 10% or below. Your responsibility will focus on: Fine-tuning a Whisper-based model for high transcription accuracy Optimizing word error rate (WER) over time Providing inline/embedded start timestamps per phrase Building an efficient inference pipeline for both real-time and batch transcription Structuring evaluation and improvement workflows Preparing the system for deployment and integration into a web platform Providing clear documentation and guidance so I can independently continue training and improving the model over time without ongoing engineer involvement The goal is to reach strong accuracy at launch, with a clear process for continued improvement as more data becomes available. Please describe your experience with Whisper fine-tuning or similar ASR model training in your proposal.

I have created a web version of a card-sorting college matching app for high school students. I need it rebuilt as a native iOS React Native app. This is a well-scoped job with a working product, an existing backend, and clear deliverables. You are not figuring out what to build, you are converting something that already works into a IOS App. TECH STACK • React Native (bare or Expo — justify your choice) • Gesture-based card UI using industry-standard React Native animation libraries • Calls an existing backend API that returns AI-generated college matches • Source code available on GitHub upon signing NDA • Target: iOS 16+ | Must be built with latest Xcode and iOS SDK TO APPLY YOU MUST INCLUDE: 1. One live App Store links to React Native apps you have shipped 2. Confirmation you are running Xcode 26 3. Two sentences on how you would implement the drag-to-zone card gesture. Applications missing any of the three will not be reviewed. Looking for one developer who has shipped gesture-heavy iOS apps and knows App Store submission from experience.

ElevenLabs Conversational AI Expert — Long, Multi-Node Voice Agents with Tool Calls Project type: Hourly Experience level: Expert Duration: Short-term engagement with potential for ongoing work About the project We're building voice agents on ElevenLabs Conversational AI (Agents Platform) that run long, complex calls of 20+ nodes in the workflow builder, with multiple tool/function calls along the way. The agent is embedded directly into our app (using the ElevenLabs SDK) rather than the ElevenLabs widget. The agents work, but we're fighting duplicate questions/answers. The agent re-asks questions it already asked, or repeats information it already gave, at different points in the call. We need someone who has actually built and shipped long-running ElevenLabs voice agents (not just simple single-prompt bots) to help us fix the structural setup so calls stay coherent end to end. That covers workflow/node architecture, state handling, prompt design, tool orchestration, and our client-side integration. What you'll do ● Audit our current agent: workflow node structure, system/node prompts, tool definitions, and conversation flow. ● Audit our client-side integration (the ElevenLabs SDK embedded in our app): session/connection handling, event handling, client tools, and how local app state stays in sync with the conversation. Reconnects, double-fired events, or repeated client-tool calls can also cause re-asks. ● Diagnose the root causes of the duplicate question/answer behavior. Possible culprits include context/state not being tracked across nodes, overlapping node responsibilities, prompt ambiguity, retrieval/knowledge-base issues, or client-side state/event problems. ● Redesign the node graph and transitions so each node has a clear, non-overlapping job and the conversation can't loop or re-ask. ● Improve state/variable management across nodes: dynamic variables, captured data, and how it's passed forward so the agent "remembers" within a call. ● Tighten tool/function calling: when tools fire, how results are handled, error/timeout handling, and avoiding redundant calls. ● Address context-window and long-call degradation, plus turn-taking behavior that causes drift. ● Recommend the right structural patterns for flows this long (single agent vs. multi-agent/agent transfer, sub-agents, branching). ● Document the fixes and the patterns so our team can maintain and extend the setup. You're a strong fit if you have ● Demonstrable hands-on experience with ElevenLabs Conversational AI / Agents Platform. Please reference specific agents or projects you've built. ● Experience with the workflow/node builder for branching, multi-step calls, not just a single system prompt. ● Experience embedding ElevenLabs in a custom app via the SDK (React/JS, WebRTC/WebSocket), not just the drop-in widget. ● Solid grasp of tool/function calling (client tools and server tools/webhooks), including error handling. ● Strong prompt engineering for voice, plus understanding of LLM context windows, state, and conversation memory. ● Experience debugging long conversations for looping and repetition, including intermittent, hard-to-reproduce cases. ● Bonus: knowledge base / RAG, dynamic variables, multi-agent transfer, post-call analysis, and the ElevenLabs API/SDK. To apply, please include 1. A short description of a long, multi-node ElevenLabs agent you built: how many nodes, what tools, and what it did. 2. How you'd approach diagnosing duplicate question/answer issues in a 20+ node flow (a quick paragraph, since we want to see how you think). 3. Your availability and rate. Applications that just say "I'm an AI expert" without specific ElevenLabs experience will be skipped. We're looking for someone who has lived in this platform.