What the work involves

micro1 is staffing a customer project that needs real DoD staff writing, not approximations of it. Day to day you'll receive or design task scenarios — a weekly activity roll-up for a program office, a SITREP under a compressed timeline, an executive summary for a general officer, an NCOER or civilian performance narrative — and produce the input artifacts plus the golden response a competent staff officer would actually submit. Alongside each item you write grading guidance: what counts as a factual error, where BLUF discipline breaks down, which tone or classification-handling misses are disqualifying versus merely weak.

The second half of the job is evaluation. You'll read model attempts against your own rubric, score them, and explain the delta in writing that another reviewer can apply consistently. Expect feedback cycles — rubrics get challenged, prompts get rewritten when they turn out to be ambiguous, and calibration disagreements are surfaced rather than smoothed over.

What the platform screens for

  • Verifiable provenance. Which command or agency, which reporting chain, which formats you personally drafted and who signed them. Vague "supported DoD programs" answers do not survive follow-up.
  • Format fluency under probing. You should be able to describe the difference between a SITREP and a commander's update brief, or explain why a WAR bullet gets rejected, without hedging.
  • Rubric thinking. Screeners look for whether you can convert taste into criteria — thresholds, weights, examples of near-misses — rather than only asserting that something reads wrong.
  • Judgment on compliance. Handling of markings, OPSEC, PII, and the line between authentic style and disclosing anything real matters here more than on most writing projects.

Logistics

Contractor engagement, fully remote, US-based only. Work is asynchronous with defined batch deadlines; most contributors treat it as part-time alongside other commitments, though throughput expectations tighten during review sprints. Observed pay for this listing has been $40–60/hr, typically banded by seniority and format breadth — as reported, not guaranteed. No prior AI or ML background is required or expected.