After reviewing dozens of AI projects and the hires behind them, I keep seeing the same mistakes. Here's the checklist I wish every founder had before posting their first AI job.
The Core Problem
"AI developer" is a buzzword. Half the people using it on general freelance platforms have a Coursera cert and a cloned GitHub repo. This checklist cuts through the noise.
Before You Post Anything
Define the problem, not the solution
Bad: "We need an AI chatbot"
Good: "We need to reduce Tier-1 support tickets by 30% using automated responses"
Know your data situation
- Do you have training data? How much? How clean?
- Is it labeled? Who owns access?
AI developers ask these on day 1. Have answers ready.
Budget for a POC, not a finished product
Start with $8–20K for a 3–4 week proof of concept. If it works, scale. If not, you learned cheaply.
Screening Candidates
Require production evidence
Ask for a model they deployed to production (not a notebook), the monitoring setup, and one time a model degraded and how they caught it. No production experience = no hire.
The data drift question
Ask: "How would you detect and handle data drift after deployment?"
Weak answer: "I'd retrain the model." Strong answer mentions monitoring pipelines, statistical drift detection, alerting, and rollback strategy.
The anti-recommendation test
Ask: "Describe a situation where you recommended NOT using AI for a problem." If they can't think of one, they'll overbuild everything.
Red Flags
- Portfolio is 100% Jupyter notebooks, zero deployments
- Claims expertise in every ML framework
- Can't articulate the business impact of their last project
- "Just use GPT-4" is their answer to everything
- Never mentions cost, latency, or monitoring
Rate Reference (2026)
| Role | Rate | Use When |
|---|---|---|
| AI Generalist | $80–120/hr | POC phase |
| ML Engineer | $100–150/hr | Production |
| LLM Specialist | $120–180/hr | RAG, fine-tuning |
| Data Engineer | $80–130/hr | Pipelines |
| AI Architect | $150–250/hr | System design |
Where to Find the Good Ones
For AI-specific work: RevolutionAI pre-vets every freelancer for production AI experience. General platforms work but require more screening effort.
The full AI Hiring Checklist is on GitHub — free to use, includes interview questions, red flag patterns, and contract templates.
Drop a red flag pattern I missed in the comments.
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