About AI SANS
We match proven builders with high-paying AI gigs. Clients are startups and SMBs that want working automations, not hype. You’ll ship LLM workflows, Zapier/Make automations, RAG knowledge bases, and simple glue code that saves teams hours every week.
What you’ll do
- Scope business needs into clear workflows/SOPs (no fluff, just steps and outcomes).
- Build automations with Zapier/Make/n8n, webhooks, and API connectors (HubSpot, Shopify, Stripe, GSuite, Slack).
- Implement LLM workflows (OpenAI/Anthropic): tool/function calls, structured outputs, retries, guardrails.
- RAG basics when needed: chunking, embeddings, vector DB, retrieval evals.
- Test & monitor: logs, error handling, eval prompts, success metrics.
- Handoff: short Looms, docs, and minimal maintenance plan.
- Optional: ongoing retainers (10–40 hrs/mo) for iteration and support.
Example projects (real use, not theory)
- Inbox → CRM triage with AI summaries + next-step routing.
- Lead scoring + personalized follow-ups (email/SMS) using templates and tool calls.
- Internal knowledge bot (RAG) that answers policy/FAQ with citations.
- E-commerce workflows: abandoned cart outreach, product Q&A, ticket deflection.
- Agent-style fielding for repetitive forms, spreadsheet cleanups, and report generation.
Requirements (must-have)
- Hands-on with at least one LLM API (OpenAI/Anthropic) and one automation tool (Zapier/Make/n8n).
- Comfortable with HTTP APIs, webhooks, JSON, and basic regex.
- Can design prompts for structured outputs (JSON) and handle function/tool calls.
- Clear written communication (client-facing), reliable internet, disciplined documentation.
- Portfolio/evidence: links, screenshots, Looms, or repo that show before/after and impact.
Nice to have
- RAG experience (embeddings, vector DB such as Pinecone/Weaviate, retrieval evaluation).
- Light Python/JavaScript for custom steps.
- Platform fluency: HubSpot, Shopify, Notion, Airtable, Slack, Google Workspace.
- QA/red-team mindset: prompt fuzzing, eval sets, safe-output checks.
- Basic analytics (tracking events, funnel metrics, cost/time saved).
Pay & engagement types
- Project work: typically $250–$3,000+ depending on scope/complexity.
- Hourly/retainer: $30–$85/hr based on stack and experience.
- Bonuses for fast delivery, low ticket volume, and clear documentation on selected engagements.
- You invoice as an independent contractor (1099). No employment benefits. Rates vary by project and client budget.
How matching works
- Apply with your stack + links (see below).
- If you pass the screen, we send a paid mini-test (simple workflow).
- You’re added to our talent roster and get matched to verified gigs that fit your stack, rate, and availability.
- You and the client agree on scope, rate, and timeline in writing before work starts.
What success looks like (30/60/90)
- 30 days: 1–2 projects shipped; clean docs; zero avoidable failures.
- 60 days: A retained client (10–20 hrs/mo) and one measurable win (hours saved, tickets reduced).
- 90 days: A repeatable pattern in a niche (e.g., HubSpot + OpenAI + Zapier) with assets/templates you can reuse.
Tools you should know (some, not all)
- LLMs: OpenAI, Anthropic (function/tool use, structured outputs)
- Automation: Zapier, Make, n8n
- Data/Docs: Google Sheets, Notion, Airtable
- E-com/CRM: Shopify, HubSpot, Stripe, Zendesk
- RAG: embeddings, vector DB (Pinecone, Weaviate), chunking, retrieval evals
- Collab: Loom, Slack, Git/Change logs
How to apply (2 minutes)
Apply on Indeed and include the following (applications without these are skipped):
- Location & time zone
- Tool stack (LLMs + automations + platforms)
- Links (portfolio/GitHub/Notion/Looms) with 1–2 sentences on impact (time saved, revenue, error reduction)
- Availability (hrs/week) and desired rate (hourly or typical project band)
AI SANS is an equal opportunity network. We welcome applicants regardless of background; what matters is shipped work and clear outcomes.
Job Types: Full-time, Part-time, Contract
Pay: $50,000.00 - $250,000.00 per year
Work Location: Remote
