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FEDTALENT.CC // INSIGHTS

Five contract clauses that quietly cost freelance AI practitioners money

Grounded in the real clause rules our contract review tool checks for

These are the highest-severity patterns our contract redline tool flags most often in real freelance/consulting agreements offered to AI practitioners (prompt engineers, fine-tuners, ML consultants):

None of this is legal advice — it's a first pass, the same role a junior associate's initial read plays before a real attorney looks at anything high-stakes.

How we compute the rate benchmark

The actual formula behind the tool, not a black box

The rate benchmark starts from a base hourly rate per specialty (prompt engineering, fine-tuning, AI consulting, ML engineering, data annotation ops), then scales it by years of experience using a square-root curve rather than a straight multiplier — the same shape common comp-benchmarking models use so a jump from 1 to 3 years experience matters more than the same jump from 15 to 17 years. The output is a low/mid/high range (±15% around the midpoint), not a single number, because real market rates vary by client budget and project scope.

Try it yourself on the MVP page — the formula and clause rules are visible in this repo's own mvp/contract-review.js, not hidden behind an API call.