What the work involves
You are the reality check on travel content an AI model produces. A typical task queue includes multi-city itineraries with unrealistic connection times, hotel recommendations that no longer exist, visa and entry-requirement claims stated with false confidence, and fare rules summarized incorrectly. You read the model's output, decide whether a real client could act on it without harm or wasted money, and write a short rationale that explains the failure precisely — "the LCC transfer at CDG assumes airside connection that isn't available on separate tickets" rather than "this is wrong."
Other work formats appear depending on the project: side-by-side comparisons where you rank two responses, rubric scoring across dimensions like factual accuracy, feasibility, and completeness, and prompt authoring where you write realistic client scenarios the model is expected to handle. Some projects ask for a corrected gold-standard answer alongside the critique.
What the platform screens for
micro1 runs an AI-led interview before any project assignment. It probes for verifiable industry experience — GDS systems you've actually operated, consortium or host agency affiliations, IATA or CLIA credentials, destination or product specializations. Expect follow-up questions that go a layer deeper than your first answer; generalists who describe travel in terms of vibes rather than fare construction, supplier terms, and entry rules tend not to advance. Written clarity matters as much as knowledge, since your rationales become training signal.
Logistics
- Fully remote and asynchronous; you claim tasks from a queue rather than working set shifts
- Volume fluctuates by project — some weeks offer 5 hours, others 25+
- Pay observed in the $20–35/hr range, not guaranteed; rate typically reflects assessment score and project complexity
- Contractor engagement, paid per approved task or tracked hour depending on the project