What the work actually looks like
You will spend most of your time reading AI-generated or AI-assisted content about aircraft maintenance and deciding whether it would survive contact with a real inspection. That means marking up a model's write-up of a borescope finding when it calls normal thermal barrier coating spalling a crack; correcting an IPC lookup that returns a part number from the wrong effectivity range; flagging a maintenance task the model signed off under Part 43 when the operator is Part 121 and the task belongs in the CAMP. Tasks arrive in batches through a web tool: some are pass/fail ratings with written justification, some are side-by-side comparisons of two model answers, some are you writing the reference answer yourself. Occasional live sessions ask you to talk through your reasoning aloud so it can be captured.
What the screen is looking for
micro1's screening is AI-led and follow-up heavy. It is trying to establish three things: that your certificates and hours are real and specific, that you can reason from regulation to a concrete airplane rather than reciting part numbers of the CFR, and that you can explain why an answer is wrong in writing a non-mechanic annotator could act on. Expect to be asked for aircraft types, engine models, the actual Part you worked under, and what you did when a finding was ambiguous. Vague seniority claims — "20 years on heavy iron" — get probed until they resolve into specifics or fall apart.
Logistics
- Contractor engagement, remote, US-based preferred; work is asynchronous with periodic scheduled calls.
- Volume is project-driven and uneven — some weeks are dense, others quiet. Most contributors treat this as part-time alongside line or shop work.
- Pay of $70–130/hr reflects rates observed on this platform for credentialed aviation experts; final rate depends on certification, depth, and task type, and is not guaranteed.
- No AI background required. The tooling is browser-based and takes a session or two to learn.