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  • Hourly: $75.00 - $150.00
  • Expert
  • Est. time: More than 6 months, 30+ hrs/week

We are looking to hire 1 to 2 experienced performance media buyers who know how to launch, test, optimize, and scale lead generation campaigns profitably. This is not a beginner role. We are a 15-year performance marketing company that owns our own offers in the legal, financial, and home services verticals. We have more opportunity than we can currently handle, including MVA form-fill campaigns, MVA pay-per-call campaigns, home services offers, and debt settlement campaigns. The bottleneck is not opportunity. The bottleneck is experienced media buyers who can come in, move fast, think strategically, direct creative, test consistently, and turn ad spend into profit. The Problem We Need Solved Right now, we have plenty of cap to fill, but I do not have enough time to personally run every campaign, write every video script, direct every creative angle, and test consistently enough to scale these campaigns to their full potential. We need someone who can step in and own the media buying process from strategy through execution. We are especially focused on: Scaling MVA campaigns on Meta and potentially TikTok Launching and improving pay-per-call campaigns Creating and testing strong creative angles Directing our creative team on what videos, scripts, hooks, and concepts need to be made Testing consistently enough to find winners Scaling profitable campaigns without needing months of hand-holding Our team goal is to reach $300k per month in profit by the end of the year. We need experienced operators who can help us get there. Who This Role Is For This role is for a true performance marketer. You should be the type of person who: Has real lead generation experience Understands how to buy media profitably, not just launch ads Knows how to test offers, angles, creatives, funnels, and audiences Can look at campaign data and know what to do next Can direct creative production, even if you are not personally editing videos Thinks like a strategist, not just a campaign manager Asks smart questions Brings new ideas, methods, and tools to the table Takes ownership of results Moves fast without needing every step explained Wants upside and is motivated by performance-based earning potential We have SOPs and systems, but we do not want someone who needs to be spoon-fed. We want independent thinkers who can operate inside our framework while bringing their own strategy, creativity, and experience to the table. As long as your ads are compliant and your campaigns are profitable, we give you room to be creative. What You Will Be Working On You will be launching, managing, testing, and scaling lead generation campaigns across verticals such as: Motor vehicle accidents Legal lead generation Pay per call Home services Debt settlement Financial offers Meta Ads experience is required. TikTok Ads and Google Ads experience are strong bonuses. What Success Looks Like In the first 30 days, we want you running profitable MVA campaigns, including form-fill and call-based campaigns. In the first 60 days, we want you running at least one home services offer profitably. In the first 90 days, we want you running our debt settlement offer properly and profitably. We do not have months to wait for someone to ramp up. We need someone who already understands performance marketing, lead generation, testing, and scaling. Creative Strategy Matters This is not just a media buying role. The best person for this role is part media buyer, part creative strategist. We have a support team that includes 3 video editors and 2 AI artists. You do not need to personally edit every creative, but you do need to know what to ask for. You should be able to come up with: Hooks Angles Video concepts Script direction Testing ideas Creative variations Offer positioning Messaging that speaks to the right audience If you only know how to adjust budgets and turn ads on and off, this is not the right role. Requirements You must meet these requirements: Based in the United States Minimum 5 years of media buying experience Real lead generation experience Strong Meta Ads experience Experience managing at least $100k per month in ad spend Ability to prove your previous ad spend numbers Ability to prove performance results Strong understanding of campaign testing and optimization Ability to work independently Comfortable being paid based on performance Do not apply if you do not have lead generation experience. Do not apply if you have never managed at least $100k per month in ad spend. Do not apply if you need months of training before you can launch and optimize campaigns. Compensation This is a commission-only opportunity. We pay 30% of the net profits you generate. We finance the campaigns. You do not have to fund the ad spend. If you are good, there is significant upside. We have large budgets, multiple offers, existing infrastructure, creative support, and more opportunity than we can currently handle. Our saying is: you eat what you kill. If you are hungry, experienced, and know how to turn ad spend into profit, this can be a very lucrative long-term opportunity. Why This Is a Strong Opportunity We are not a startup trying to figure out our first offer. We have been in business for 15 years. We own our own offers. We have buyers. We have cap. We have a creative support team. We finance the ad spend. We give strong media buyers the freedom to test, scale, and make money. We are looking for someone who knows what they are doing, wants to move fast, and wants to seize the opportunity in front of them. To Apply Please answer the following questions in your application: 1. How many years of media buying experience do you have? 2. Are you based in the United States? 3. What platforms do you have experience buying on? 4. What lead generation verticals have you worked in? 5. What is the largest monthly ad spend you have personally managed? 6. Can you provide proof of managing at least $100k per month in ad spend? 7. What is your experience with Meta lead generation campaigns? 8. Have you ever run MVA, legal, financial, home services, debt settlement, or pay-per-call campaigns? 9. Walk us through your testing process for launching a new campaign. 10. How do you approach creative strategy and video ad testing? 11. Give an example of a campaign you scaled profitably. 12. Why are you interested in a commission-only role where you earn 30% of the net profits you generate? Please start your application with the phrase “I buy for profit” so we know you read the full post.

  • Hourly: $60.00 - $100.00
  • Expert
  • Est. time: More than 6 months, 30+ hrs/week

I'm Nick Ortner, founder of The Tapping Solution, and I'm running a 20-peer-reviewed-paper publication initiative over 24 months on what is likely the largest real-world dataset in consumer digital mental health: 18+ million measured sessions with paired pre-and-post self-rated symptom intensity. The platform uses Emotional Freedom Techniques (tapping). I work daily with Claude Opus 4.7 to draft analyses, write manuscripts, and fact-check. I'm fast at the front end of a paper but the back end keeps stalling: manual qualitative coding, citation verification, manuscript polishing, journal-specific formatting, collaborator scouting and outreach, biostat handoffs. I'm looking for one person to be my fractional research operations lead. Not a writer alone, not a coordinator alone — the person who reads where each paper is, decides what specialists or collaborators to bring in, hires them, manages them, and pushes papers from 80% done to submitted. Reports to me. 15–25 hours/week. $80–140/hr. Remote, async-friendly. If you're a PhD-level researcher in clinical psychology, behavioral medicine, health services research, digital therapeutics, or related and you use Claude/Opus or ChatGPT daily, keep reading. What we have right now (so you can judge the work) The IBS paper is the most developed example and the one I want help finishing. Current state: Quantitative slice. Master export from the production database, 18+ million measured sessions across the platform. The clean IBS slice: 312,215 rows, 19 IBS- and gut-themed sessions. Primary analytic cohort (paired ratings, pre≥2): 117,310 sessions / Cohen's dz = 1.32, 94% improved, 74% with ≥2-pt reduction on a 0–10 scale. SHA-256 chain-of-custody preserved. 11 pre-specified analyses run, all outputs saved. Manuscript. A 6,800-word v2 draft following STROBE/RECORD reporting standards, targeting npj Digital Medicine. Methods, Results, Discussion drafted. Has been fact-checked once with a 20-issue audit applied. Reference list has 21 verified citations and needs to expand to 50–60. Tables and figures not yet generated. Qualitative corpus. 438 free-text feedback messages from users on IBS/gut sessions, with paired pre/post intensity ratings on the same encounters. A 20-theme codebook is already drafted with first-pass coding done. Needs an independent second coder for intercoder reliability. Journey data. Full cross-category use data for the 8,800-user "Tier 2" IBS cohort: 1.1 million sessions across all platform categories. Initial analysis done — 79% of IBS cohort users also use anxiety content; 50% use pain content; 35% use vagus-nerve-toning content. Seed of a companion "journey" paper. Pipeline outside IBS. ). A rumination paper at draft v7. A depression paper drafting in parallel. A pain relief paper biostat-validated. Sleep, reproductive health, a platform-wide flagship, anger, trauma, caregiver, and several condition-specific applications are next. The IBS paper is one of 20. The work pattern repeats. What you'd actually do (the workflow, specifically) This is not "write papers from scratch." This is "take what's already done and push it through the last 20%." An actual week: Monday. Read where each active paper is. Update the project status doc. Identify the binding constraint on each for IBS, the second-coder hire and the v3 editorial pass. For Pain, journal formatting and supplementary materials.. Pull anything I've added or changed. Tuesday. Run an Opus 4.7 session on the IBS paper. Open the v2 draft, the fact-check audit, and the qualitative corpus. Prompt Opus to draft the v3 enhancements (clinical-vignette opening, EFT-credibility paragraph, expanded discussion integration of qualitative themes). Review the output, decide what stays and what gets sharpened. Make manual edits where Opus over-reaches or misses the project voice. We have a paper-writing-philosophy doc; you'll internalize it. Wednesday. Collaborator scouting. The IBS paper needs a practicing GI clinician co-author. You search PubMed and conference attendee lists for GI clinicians with publications in digital therapeutics or behavioral GI, ideally at a major academic center with a friendly stance toward mind-body work. You build a target list of 8–12 candidates, draft a warm-introduction email each, and we send them. Same process for other papers as they need their condition-specific co-author. For the reproductive health paper, you're scouting a women's-health researcher. For the journey paper, possibly a digital therapeutics methodologist. This is real research-program work, and it's the highest-leverage thing you can do. Thursday. Post a fixed-price Upwork project for the qualitative second coder using the codebook brief I'll provide. Screen the applicants down to a shortlist, run 15-minute calls, hire one. Onboard them with the corpus, codebook, and deliverable spec. Manage them through to delivery. Friday. Citation verification on the v3 reference list using PubMed and journal records or hire that out to a Upwork specialist if the list is over 30 entries. Format the manuscript to npj Digital Medicine's actual submission template. Generate Table 1 and Figure 1 from the analytic outputs. Throughout: you're using Claude/Opus 4.7 as your primary work tool. The expectation is that you've been doing this in your own work already. The specific bottlenecks I need help with In order of how much time they currently consume me: Manuscript polishing from v2 to submission-ready. Each paper has a v2 draft that's substantively correct but needs editorial enhancement, reference list expansion, table/figure generation, and journal-specific formatting. Roughly 20–40 hours per paper, of which 10 benefit from my judgment and the rest is execution. Collaborator scouting and outreach. Each paper benefits from a condition-specific co-author (GI clinician for IBS, women's health researcher for reproductive health, etc.). Finding them, vetting fit, drafting warm-intro emails, managing the relationship through to authorship commitment — this is significant work and almost nobody is doing it well at industry pace. Coordinating academic co-authors who are already committed. Drafts shared, calls scheduled, action items tracked, version control maintained. The work itself is small; the volume of it is the problem. Citation verification and reference management. Every paper's reference list needs each entry verified against PubMed. We've been burned by AI-generated citations that turn out not to exist; verification is non-negotiable. Hiring and managing Upwork specialists. Second coders for qualitative work, statistical reviewers for sensitivity analyses, citation verifiers, occasional medical writers. You decide who to hire for each paper, post the listings, screen, onboard, manage delivery. Journal submission management. Each paper goes to a specific journal with specific submission templates, cover-letter conventions, suggested-reviewer lists, conflict-of-interest disclosures, data-availability statements. Biostatistician handoff package preparation. Each paper needs a validation package: dataset, analysis scripts, expected outputs, decision log, README, biostatistician instructions document. We have a template format; you'd populate it per paper. Different papers need different things at different times. The role is to know what each paper needs and execute on it. What you'd need to be good at Real research literacy. You've authored or co-authored peer-reviewed papers. You know what a Methods section looks like for an observational cohort study. You can read STROBE, RECORD, GRAMMS, and PRISMA reporting standards without explanation. You know what intercoder reliability is. You have an instinct for what reviewers care about. AI fluency as a daily work tool. You use Claude/Opus or ChatGPT for at least an hour a day in your existing work. You're past the "is this a fad" stage. When I tell you we work in Opus 4.7, you don't need me to explain prompting. You can hold a long Opus session and come away with sharper output than you started with. Project-management instinct. You think in deliverables, dependencies, and timelines. You can hold 5 papers in your head simultaneously, each at different stages, and know what's blocking what. You flag friction early. Network sense. You know how to find the right academic collaborator for a given paper. You can read a PubMed search and identify who's actually doing publishable work in a given space versus who's been quoted in a press release. You can write a warm-intro email that gets opened and replied to. Specialist-managing experience. You've hired and managed freelancers before. You can write a clear deliverable brief, screen applicants, evaluate work. On authorship. Most papers in this program I'm first or senior author. On a subset of work companion qualitative papers, methods pieces, occasional condition-specific applications where you've owned substantial intellectual contribution — first authorship for the right contributor is on the table. We'll be transparent about authorship per paper before work begins, and the conversation is open if you have a specific case you want to make. How to apply Send a proposal that includes: Two peer-reviewed papers you've authored or substantively contributed to. PubMed links. Tell me your specific role on each. A description of how you currently use AI tools in your research work. Be specific — what prompts you run, what you trust the model for, what you don't. One thing you've recently managed at the project level where you coordinated multiple specialists or collaborators. What was it, what was hard, what did you learn? Your rate and availability for the next 90 days. Skip the generic cover-letter language. The proposals that come back with sharp questions, specific examples, and a clear sense of the work get shortlisted within 48 hours. One final note on what this is This is real research. The papers go to journals that matter. The data is real. The findings will be used by regulators, by payers, and by clinicians who recommend digital interventions to patients. The work matters. If you want to test the water with one project before committing, tell me that in your proposal we can structure a smaller engagement to start. Either way, I look forward to reading what you send.

  • Hourly: $40.00 - $55.00
  • Expert
  • Est. time: 3 to 6 months, 30+ hrs/week

Eligibility: This role is open to U.S. citizens only due to client security and compliance requirements. Please apply through this posting only — do not contact Data-Sleek directly regarding this position. Applications received outside this channel will not be considered and reported to Upwork. Data-Sleek is looking for a Senior AI Solutions Engineer to lead our on-premise and government-cloud AI deployments. You will design, build, and deploy AI-powered data pipelines for clients who cannot use commercial cloud due to ITAR, CMMC, or other data residency constraints, beginning with a client in the aerospace and defense sector. Beyond this first engagement, you will become Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients, building the practice rather than just executing a single project. About Data-Sleek Founded in 2020, Data‑Sleek® is a U.S.-based AI and data consulting firm that helps mid-market companies build the data foundation that AI actually runs on. We own the full path — data strategy, architecture, integration, warehousing, and AI implementation — so organizations can adopt AI with confidence, stay compliant, and scale, without first hiring an internal data team. Our distributed U.S. team (San Francisco, Los Angeles, Irvine, Dallas, Chicago, and New York) partners with clients across healthcare, finance, insurance, logistics, and technology, modernizing data platforms with best-in-class tools like Snowflake, dbt, Fivetran, Tableau, and AWS. Trusted by Fortune 500 institutions and growing companies alike, Data‑Sleek turns complex data into measurable outcomes — faster insight, lower cost, and AI projects that deliver. About the Role You will own the technical delivery of AI-powered data pipelines in restricted environments where commercial cloud is not an option. The immediate engagement centers on a Product Lifecycle Management (PLM) data migration: building a pipeline that connects to a client's SharePoint on a restricted Microsoft 365 government tenant, reads engineering documents, classifies and summarizes them, detects duplicates, and rates naming-convention compliance to produce a migration-readiness report. You will start on-premise, then help the client evaluate and move to government cloud for production. Key Responsibilities AI Pipeline Development Build AI pipelines that connect to a client's SharePoint on a government cloud tenant, read engineering documents, classify them by type, generate summaries, detect duplicates, and rate naming-convention compliance in support of PLM data migration. Catalog large document repositories and produce migration-readiness reports and Excel catalogs that give clients a clear, measurable picture of their data. Engineer document-parsing workflows across DOCX, PDF, and XLSX formats, including embedding generation and database operations. On-Premise & Government Cloud Deployment Deploy on-premise first — a Mac Mini running Gemma via Ollama — standing up, serving, and tuning local inference infrastructure. Evaluate and migrate to production on Azure OpenAI (Azure Government) or AWS Bedrock (GovCloud) when the client is ready to scale. Keep deployments compliant within ITAR-sensitive, restricted-network boundaries throughout. Architecture & Cost Advisory Produce cost models and architecture recommendations that help client IT teams make informed platform decisions based on measured data, not vendor pitches. Compare deployment options — local, Azure Government, and AWS GovCloud — on cost, performance, and compliance, and explain the trade-offs clearly. Practice Building & Delivery Serve as Data-Sleek's go-to engineer for AI deployments across defense and aerospace clients. Build a reusable capability — a repeatable AI-solutions practice — rather than executing a single one-off project. What You Bring Required U.S. Citizen: U.S. citizenship is required and non-negotiable due to ITAR and client security and compliance requirements. Production LLM deployment: You have stood up inference infrastructure — not just called an API. You've handled model loading, memory constraints, failure modes, and throughput tuning in a real deployment. Local inference: Ollama, vLLM, llama.cpp, LM Studio, or TGI. You've served open-source models (Gemma, Llama, Mistral) on local hardware. Cloud AI platforms: Azure OpenAI or AWS Bedrock — at least one. Service configuration, model access, authentication, and token-based pricing. Python: Pipeline engineering — document parsing (DOCX, PDF, XLSX), API integrations, embedding generation, and database operations (SQLite, Postgres). Experience: 5+ years post-degree in software engineering, data engineering, or ML engineering. Strong Preferences Microsoft ecosystem: Entra ID, Microsoft Graph API, and SharePoint REST API at the API level. GCC High experience is a bonus. MCP (Model Context Protocol): Experience building or consuming MCP servers — a significant plus for a fast-evolving protocol. Workflow orchestration: n8n, Temporal, Airflow, or similar. The pipeline is orchestrated, not scripted. Government cloud awareness: Understanding of what FedRAMP High, IL4/IL5, and ITAR mean for cloud architecture decisions. Embeddings & vector similarity: sentence-transformers, pgvector, Qdrant, or FAISS for duplicate detection. 
Bonus (valued if present) Aerospace or defense experience: Familiarity with ECOs, BOMs, and AS9100 saves ramp time. Apple Silicon optimization: MLX, Metal acceleration, and Ollama tuning on M-series chips. Agentic frameworks: Bedrock AgentCore or Azure AI Foundry — the future direction involves agentic AI workflows on government cloud. What This Role Is Not Model training or fine-tuning. This is deployment engineering, not research. Data science or statistical modeling. The AI here is document understanding and classification, not predictive analytics. Frontend development. The deliverable is an Excel catalog and a report, not a web app. Sales or client acquisition. Data-Sleek's leadership manages the client relationship; you focus on delivery. Engagement & Compensation Remote, US-based. Occasional on-site travel to client facilities for hardware deployment and workshops may be needed. An average of 2–3 trips for the first engagement may be possible. Compensation. $40-$55/hour Why Join Data-Sleek? At Data-Sleek, you'll lead AI deployments in environments most engineers never touch — government cloud and on-premise systems where commercial tools simply aren't an option. Your work will directly shape how defense and aerospace clients adopt AI, and you'll build a reusable capability the company grows around. We focus on doing the right thing architecturally rather than selling the most expensive option, and we give our engineers the autonomy to deliver real solutions for real constraints. How to Apply If you've shipped real LLM deployments with real constraints, we'd like to hear from you. Please submit: Your resume A brief note describing one LLM deployment you've shipped — what model, what infrastructure, what data source, and what went wrong. Data-Sleek® is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all contractors.

  • Hourly: $50.00 - $80.00
  • Intermediate
  • Est. time: 1 to 3 months, 30+ hrs/week

Title: React Developer — CRM Integration (Freelance / Contract) We're looking for an experienced React developer to help finalize a custom-built CRM for a creative services company. The app is already live and functional — we need help integrating third-party APIs including Pipedrive, Google Workspace (Gmail, Drive, Calendar), JustCall.io, and Markup.io, plus wiring up AI tools (Gemini, Gamma.app). Stack: React, Vite, Tailwind CSS, Base44 (BaaS), Deno backend functions What you'll do: - Connect OAuth-based integrations (Google, Pipedrive, JustCall) - Build automated email/workflow triggers via backend functions - Polish UI components and fix edge-case bugs Ideal candidate: 3–5 yrs React experience, comfortable with REST APIs and OAuth flows, bonus if you've worked with Pipedrive or Google Workspace APIs. Estimated: 60–100 hrs | Milestone-basedThis is a part-time engagement for 1 to 3 months. Freelancer Project Brief — Flyer View Group CRM Project Overview Flyer View Group is a geospatial marketing firm that produces custom murals, posters, story maps, and dynamic map programs for commercial real estate and economic development clients. We have a custom-built internal CRM (built on Base44, a React + Vite + cloud-backend platform) that manages the full lifecycle of prospects, deals, contacts, organizations, and projects. We need an experienced freelance full-stack developer to: Complete and stabilize all existing CRM functionality (described below) Wire up live integrations with our third-party tool stack Deploy and test the system so it's production-ready for daily use by a small team What's Already Built The CRM currently includes: Dashboard — activity summaries, pipeline metrics, revenue charts Prospecting — outreach tracking with AI-assisted qualification Contacts & Organizations — tabbed detail slide-over panels, quick actions Pipeline — Kanban-style deal board with stage drag-and-drop Projects — grid/list views with Pipedrive-style project cards, stage transitions, subscription tracking Activities/Tasks — logging, scheduling, assignments, priority tracking Mail page — stub ready for email integration Backend functions — deal-to-project conversion, proof tracker, subscription renewal alerts, outreach automation stubs AI Assistant — global sidebar AI agent (Base44 in-app agent) Work Required 1. Polish & Wire Up Internal Functionality Fix any broken UI states, edge cases, or incomplete components Ensure all entity relationships (Deal → Project → Contact → Org) work end-to-end Complete the proof versioning workflow (version bump → task creation → notification) Finalize subscription renewal alert automation (60/30 day triggers) Ensure all slide-over detail panels are fully functional with edit/save/delete 2. Third-Party Integrations Service Integration Goal Google Workspace (Drive, Gmail, Calendar, Docs) Auto-link Drive folders per project; log emails as activities; sync calendar events to Activities; create Docs from project templates Pipedrive Two-way sync of Deals, Contacts, and Organizations via Pipedrive REST API; map CRM stages to Pipedrive pipeline stages Markup.io Embed or deep-link Markup.io review sessions to project proof records; store review URLs on the Project entity JustCall.io Click-to-call from Contact/Prospect records; log inbound/outbound calls as Activities automatically via JustCall webhook Gemini (Google AI) Power AI-assisted prospect qualification scoring, outreach message generation, and project notes summarization via Gemini API Gamma.app Store and display Gamma presentation links per project (partially built); add ability to generate a Gamma link stub from within the project record app.atlas.co Store and display Atlas map links per project; integrate link management into project detail panel 3. Automation Wiring Connect existing backend function stubs to real API calls Set up and test all Base44 automations (entity triggers + scheduled tasks) Ensure webhook endpoints are secured and validated 4. Testing & Documentation End-to-end QA of all workflows Document integration setup steps (API keys, webhook URLs, OAuth scopes) Provide a brief handoff guide Required Qualifications Must Have: 3+ years of React development (hooks, React Query, component architecture) Experience with REST API integrations and OAuth 2.0 flows Familiarity with webhook-based event handling Strong JavaScript/TypeScript skills Experience integrating Google Workspace APIs (Drive, Gmail, Calendar) Ability to read and work within an existing codebase without rewriting everything Nice to Have: Prior experience with Pipedrive API or similar CRM APIs Experience with Base44 or similar BaaS platforms (Supabase, Firebase) Familiarity with JustCall, Markup.io, or annotation/review tools Experience with Gemini / Google AI Studio APIs UI/UX sensibility to maintain the existing dark, premium SaaS design system Tech Stack Document Frontend Layer Technology Framework React 18 (Vite) Routing React Router v6 State / Data Fetching TanStack React Query v5 Styling Tailwind CSS v3 Component Library shadcn/ui (Radix UI primitives) Icons Lucide React Animations Framer Motion Charts Recharts Drag & Drop @hello-pangea/dnd Forms React Hook Form + Zod Date Utilities date-fns Backend / Platform Layer Technology Platform Base44 (BaaS — database, auth, functions, agents) Backend Functions Deno Deploy (TypeScript/JS serverless handlers) Database Base44 managed NoSQL (entity-based schema) Auth Base44 Auth (JWT, Google OAuth, email/OTP) File Storage Base44 Storage (public + private file URLs) AI / LLM Base44 InvokeLLM (OpenAI GPT-4o-mini default; Gemini configurable) In-App Agent Base44 Agent SDK (chat UI + tool permissions) Automations Base44 Automations (scheduled, entity-triggered, connector webhooks) Integrations Required Service Auth Method API Type Google Workspace (Drive, Gmail, Calendar, Docs) OAuth 2.0 (Base44 Google connector) REST + Webhooks Pipedrive API Token / OAuth REST Markup.io API Key REST JustCall.io API Key + Webhooks REST + Webhooks Google Gemini API Key (Google AI Studio) REST Gamma.app Manual URL (no public API) Deep Link app.atlas.co Manual URL / API Key (if available) REST / Deep Link Infrastructure Notes All backend logic runs as Deno serverless functions — no Node.js, no Docker Secrets/API keys stored as Base44 environment variables (never in source code) No separate database or hosting needed — Base44 handles all of it The codebase is a single React SPA deployed via Base44's hosting Deliverables Fully functional CRM with all existing features working Live integrations for all 7 services listed above All Base44 automations configured and tested API key / webhook setup documentation Handoff notes for ongoing maintenance Estimated Scope ~80–120 hours depending on experience level with the tools involved. Fixed-price bids preferred with milestones. Please include examples of prior CRM integrations or API work in your proposal. Platform: Base44 (base44.com) — Freelancer must be comfortable reading existing React/Deno code and working within the Base44 ecosystem. A 1-hour paid discovery call is required before work begins.

  • Fixed price
  • Intermediate
  • Est. budget: $500.00

Are you a backend engineer who enjoys debugging, improving existing systems, and completing real product features in a fast-moving startup environment? We are building a platform for the foodservice industry focused on bid management, rebates, contracts, invoices, and document automation. We are looking for a backend developer to help us fix, complete, and stabilize several important modules in our application. This will begin as a paid trial project. If the work is completed successfully, there is an opportunity for ongoing development work as we continue to grow. Main Tasks We currently have several backend modules already built, but they are incomplete, buggy, or not working as expected. Your main responsibility will be to review the existing code, identify issues, fix bugs, complete missing functionality, and make sure the modules work properly from end to end. 1. Invoice Management Module We currently have an invoice module, but it is not working as expected and has multiple bugs. This module also connects with Stripe, so we need someone who can troubleshoot and complete the Stripe-related backend workflows. Responsibilities may include: Debugging the existing invoice management module Fixing invoice creation, updating, viewing, and status logic Reviewing and fixing Stripe integration issues Ensuring invoice/payment data is handled correctly Improving API reliability, validation, and error handling Testing the full invoice workflow from admin and user perspectives 2. Contracts Module We currently have a contracts module, but it is not fully functional. At the moment, admins are not able to properly create contracts, and users are not able to view or sign open contracts. This module uses DocuSign, so experience with DocuSign or similar e-signature integrations is strongly preferred. Responsibilities may include: Debugging the existing contracts module Fixing admin contract creation workflows Fixing user contract viewing and signing workflows Reviewing and fixing DocuSign integration issues Ensuring contract statuses update correctly Handling permissions and access control for admins and users Testing the complete contract lifecycle from creation to signature 3. Document Classifier Module We have a document classifier module that works in some cases, but it fails when multiple files are loaded through S3 and has additional bugs. We need help stabilizing the file processing and information extraction workflow. Responsibilities may include: Debugging the existing document classifier module Fixing issues with multiple file uploads through S3 Improving information extraction reliability Handling batch file processing correctly Fixing bugs related to file parsing, storage, and classification Improving error handling and logging for failed document processing Testing single-file and multi-file workflows What You’ll Do You will be working primarily on backend development and debugging for an existing application. This is not just new feature development — we need someone comfortable jumping into existing code, understanding how the system works, finding bugs, and completing unfinished backend workflows. Your work may include: Reviewing and debugging existing Nest.js/TypeScript backend code Building and fixing RESTful API endpoints Working with Stripe, DocuSign, S3, and document-processing workflows Improving validation, permissions, error handling, and logging Testing APIs using Postman or similar tools Coordinating with frontend developers to ensure features work end to end Creating or updating backend/API documentation as needed Using Git and our CI/CD workflow for deployment Tech Stack Our current backend stack includes: Nest.js TypeScript REST APIs Stripe integration DocuSign integration S3 file storage Document classification / extraction workflows CI/CD pipelines Postman or similar API testing tools Slack and ClickUp for communication and task tracking Skills We’re Looking For The ideal candidate should have: Strong experience with Nest.js and TypeScript Experience debugging and completing existing backend modules Strong understanding of RESTful API design Experience with third-party API integrations Experience with Stripe is strongly preferred Experience with DocuSign is strongly preferred Experience with S3 or cloud file storage is preferred Ability to troubleshoot complex backend bugs Strong API testing skills using Postman or similar tools Good understanding of authentication, authorization, and permissions Ability to write clean, maintainable code Clear communication and reliable follow-through Comfort working in an agile startup environment Compensation and Trial Period This role will start with a paid trial sprint. Compensation is $100 per completed 2-week sprint, paid after successful completion, testing, and verification of the assigned sprint work. We understand this is modest starting compensation, but we are looking for someone who wants to grow with the company. If the initial work is completed successfully, we would like to continue working together on additional backend features, improvements, and platform modules. There may also be an opportunity for full time employment consideration after a successful trial period, based on performance, reliability, and long-term fit. Why Join Us? Meaningful Product Work Your work will directly improve core parts of our platform, including invoices, contracts, payments, and document automation. Startup Growth Opportunity We are an early-stage company building in the foodservice bid and rebate space. The right person can grow with us as the platform expands. Real Ownership You will not just be assigned small isolated tasks. You will help complete important backend modules that are central to the product. Flexible Collaboration We use Slack and ClickUp to manage tasks and communication. Standups may be scheduled as needed, and we work in an agile sprint-based structure. How to Apply Please apply with: A brief summary of your backend experience Your experience with Nest.js and TypeScript Any experience with Stripe, DocuSign, S3, or document processing Examples of backend modules or integrations you have built or fixed Your availability for a 2-week sprint Confirmation that you are comfortable working on a paid trial sprint with the possibility of ongoing work We are looking for someone who can start by helping us fix and complete the invoice, contracts, and document classifier modules. If the work goes well, we would like to hire you for additional backend development work as we continue building the platform.

  • Fixed price
  • Expert
  • Est. budget: $3,500.00

I need a full stack developer to build a simple web application called WriteTheDeal. The frontend design is already 100% complete — I have fully designed HTML files ready to hand over. You are building the backend and making everything functional. This is Phase 1 of a larger project — if this phase goes well, there is a strong chance of continued paid work for Phase 2 with additional features. Here is exactly what needs to be built: 1. An embeddable JavaScript widget that dealers paste on their website with one line of code. When a buyer clicks Make an Offer a modal opens with a form collecting the following information from the buyer: offer amount, first name, last name, email address, phone number, and card details via Stripe. 2. Payment intent question — the offer form must ask the buyer how they intend to pay for the vehicle, with three options presented as selectable buttons: Finance through the dealership, Cash, or Outside lending. This is a required field and must be completed before the offer can be submitted. The dealer must see this answer clearly displayed alongside the rest of the offer details in their dashboard. 3. Trade-in question — the offer form must ask the buyer “Do you have a trade-in?” with a Yes or No option. If the buyer selects Yes, the following additional fields must appear: Vin Number - Year, Make, Model, Trim, Mileage, and Condition. Condition must be a dropdown with exactly these three options: “Showroom condition,” “Good — some scratches here and there, may need new tires,” and “Poor — needs a lot of TLC.” All trade-in details must be clearly visible to the dealer in their dashboard alongside the rest of the offer. 4. Notes field — both the buyer and the dealer must be able to add a note at any point in the process. The buyer can add a note when submitting their original offer. The dealer can add a note when responding to an offer. All notes must be stored and visible in the full offer history so both sides can see the complete conversation thread at any time. 5. A Stripe integration using Stripe Connect — when a dealer accepts an offer, the $1,500 deposit must go directly into the dealer’s own connected bank account, not mine. I must never receive the buyer’s deposit money in my account at any point. I earn only a separate platform fee automatically deducted at the time of each transaction. The buyer’s card must be authorized but not charged at the time of offer submission — it is only captured when the dealer accepts. If the dealer declines, the hold must be released immediately and the buyer is never charged. 6. ADF/XML lead delivery — when a buyer submits an offer, the system must automatically send a correctly formatted ADF/XML lead email to the dealer’s CRM intake email address. This must work with all major automotive CRMs including VinSolutions, ELEAD, DealerSocket, DriveCentric, ProMax, and AutoRaptor. The lead email must include all offer details — offer amount, buyer contact info, payment intent, trade-in details, and any notes. 7. Instant dealer notifications — the moment a buyer submits an offer, the dealer must automatically receive both an email notification and a text message notification containing the buyer’s name, offer amount, and a direct link to view the full offer in their dashboard. Text messages must be sent using Twilio. 8. Dealer dashboard — a secure, password-protected login page where dealers can see all of their incoming offers. Each dealer must only ever see their own offers and their own buyers — no dealer should ever be able to see another dealer’s data. The dashboard must clearly display for each offer: buyer name, email, phone, offer amount, payment intent, trade-in details if applicable, notes, and the full offer history. Each offer must have three action buttons: Accept, Decline, and Counter Offer. 9. Counter-offer functionality — in addition to Accept and Decline, the dealer must be able to send a counter-offer back to the buyer with a revised amount and an optional note. The buyer must receive an email and text notification when a counter-offer is sent. The buyer must be able to accept the counter, decline it, or send their own counter back. This back-and-forth negotiation must be able to continue for multiple rounds until one side accepts or declines. Every round of the negotiation must be stored and visible in the offer history for both the buyer and the dealer. 10. Maximum discount threshold with automatic decline — each dealer must be able to set a maximum percentage off MSRP they are willing to consider, for example 5%. If a buyer submits an offer that falls below this threshold — meaning the discount requested is greater than the dealer’s set maximum — the system must automatically decline the offer immediately without the dealer needing to take any action. The buyer’s card must never be charged on an auto-declined offer. This threshold setting must be adjustable by the dealer at any time from their dashboard settings, and must be settable as both a store-wide default and on a per-vehicle basis. 11. Salesperson send-link tool — inside the dealer dashboard there must be a tool where a salesperson can enter a customer’s name, email, phone number, offer amount, and vehicle details, and the system generates a unique pre-filled link. When the customer opens this link the offer form loads with all their details already filled in — they only need to add their card to submit. The salesperson must be able to send this link via email or text directly from within the dashboard. 12. Admin panel for me — I need a completely separate and private admin login at a secure URL. From this panel I must be able to: add a new dealer by entering their basic info, automatically generate their unique dealer ID, automatically generate their dashboard login credentials, automatically generate the exact widget code snippet ready to send to their webmaster, and view all dealers and all offers across the entire platform. I must never need to contact the developer to add a new dealer after launch. 13. Individual dealer login accounts — each dealer must have their own unique username and password to access their dashboard. When they log in they must only see their own data. No dealer should ever be able to access or view another dealer’s offers, buyers, or settings. 14. Public website — I have a fully designed landing page and pricing page already built as HTML files. I need these deployed and made live at writethedeal.com as the public-facing marketing website for the product. 15. All accounts must be created under my ownership — please set up all hosting, database, Twilio, and any other third-party service accounts using my email address and my payment method from day one. Even though you will be handling the technical setup, I must own every account. I must be able to access, manage, and if necessary transfer every account without needing your involvement after the project is complete. Please use Node.js for backend and PostgreSQL for the database, deployed on Render or Railway. If you strongly prefer a different approach please explain why in your proposal, but I would like to stick with widely used tech so I can easily find another developer to maintain or update the product in the future if needed. Deliverables: — Fully working embeddable widget with all form fields described above — Payment intent question (finance with dealer, cash, or outside lending) — Trade-in question with year, make, model, trim, mileage, and condition dropdown — Notes field on every offer visible to both buyer and dealer — Stripe Connect integration with deposits going directly to dealer accounts — ADF/XML lead delivery to dealer CRM intake email — Email and SMS notifications to dealers via Twilio — Dealer dashboard with accept, decline, and counter-offer functionality — Full negotiation history stored and visible on every offer — Maximum discount threshold settings with automatic decline per dealer and per vehicle — Salesperson send-link tool with pre-filled customer links — Admin panel where I can add new dealers and generate widget codes myself — Individual dealer logins with complete data separation between dealers — Public marketing website deployed at writethedeal.com using my existing designs — All third-party accounts created under my ownership — Fully deployed and live on a real URL — A 20 minute Loom video walkthrough of the entire system — A simple plain-English document explaining how to add a new dealer from start to finish Timeline: 4 to 6 weeks Budget: $3000-$4000 fixed price for everything listed above, paid across 6 milestones Note on hiring: Before I hire anyone I will ask all candidates to explain in plain English how they would set up Stripe Connect so that the $1,500 deposit goes directly to the dealer’s bank account and never passes through my account. The clarity and accuracy of your answer to this question will be a significant factor in my hiring decision.

  • Hourly: $15.00 - $30.00
  • Intermediate
  • Est. time: More than 6 months, Less than 30 hrs/week

We are expanding our company and seeking a skilled web developer to join our team. The ideal candidate will have experience in web development, HTML5, and JavaScript. This is a long-term, part-time engagement with a focus on building and maintaining our web presence. If you are passionate about web development and eager to contribute to a growing company, we would love to hear from you.

  • Hourly
  • Intermediate
  • Est. time: 1 to 3 months, Less than 30 hrs/week

I have an HTML project that requires backend coding to be completed. The tasks involve data storage and geolocation, among other coding needs. The ideal candidate should have experience in backend development and be able to integrate these features effectively.

  • Fixed price
  • Expert
  • Est. budget: $2,000.00

Web Developer — AI Governance Consulting Website | HTML/CSS/JS + Third-Party Integrations Job Description TorBay AI Systems Inc. is a Silicon Valley-based AI governance and cybersecurity consulting firm. Our website (www.torbayai.com) is built on awpulsar CMS. We need an experienced web developer for a 3-month engagement to deploy our AI Assessment Tool, integrate marketing and analytics platforms, improve site performance, and build additional pages that support our client acquisition and business development goals. What You Will Do Month 1 — July: • Deploy our AI Guardrails Assessment Tool (standalone HTML/JS file provided) at www.torbayai.com/assessment • Add prominent 'Take the Free AI Assessment' CTA button on homepage • Install HubSpot tracking code in website Head HTML section • Install and configure Google Analytics 4 • Verify Google Search Console ownership • Install Crisp live chat widget embed code • Fix LinkedIn company page icon in navigation bar Month 2 — August: • Build dedicated Resources page with downloadable AI Guardrails Framework PDF • Improve website page load speed and Core Web Vitals scores • Add structured data / schema markup to service pages • Ensure full mobile responsiveness across all pages and blog posts • Connect contact form submissions to HubSpot CRM Month 3 — September: • Build simple Case Studies or Client Results page • Add email newsletter signup connected to HubSpot • Final cross-browser and cross-device QA testing • Deliver before/after site performance report — page speed, Core Web Vitals, mobile scores What We Are Looking For • Strong HTML, CSS, and JavaScript skills • Experience integrating third-party tools — HubSpot, Google Analytics 4, Crisp chat, API-based tools • Experience with hosted CMS platforms — awpulsar experience a bonus, any CMS experience acceptable • Understanding of web performance optimization and Core Web Vitals • Clean, professional output — our audience is enterprise executives • US-based preferred — please indicate your location in your proposal • Ability to work independently with clear milestone deliverables and minimal hand-holding Milestones Milestone 1 ($667) — July: Assessment tool deployed + CTA added + HubSpot/GA4/Crisp installed + LinkedIn nav icon fixed Milestone 2 ($667) — August: Resources page + performance optimization + schema markup + contact form connected to HubSpot CRM Milestone 3 ($666) — September: Case studies page + newsletter signup + final QA + performance report To Apply — Please Include • 2-3 website projects you have built or maintained with links • Your experience with third-party tool integrations (HubSpot, GA4, chat widgets, APIs) • Whether you have experience with awpulsar or similar hosted website builders • Your location (US-based) • Confirmation you are available to start July 1, 2026 www.torbayai.com | Santa Clara, California | AI Governance & Cybersecurity Consulting

  • Fixed price
  • Intermediate
  • Est. budget: $2,000.00

We are seeking a web developer to create a multi-page website. We have a baseline design for you to work off, and a rough code to guide the development process. The ideal candidate will have experience in HTML, CSS, and JavaScript to ensure a seamless and professional final product.

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