What the work actually looks like

You are not selling anything here. You are producing and judging the raw material that teaches a model how a competent technical salesperson thinks. In practice that means writing realistic prospecting sequences for a named market segment (say, a specialty polymer supplier targeting medical device OEMs), drafting qualification dialogues where the model must infer budget authority from incomplete signals, and grading model-generated pitches and objection responses against what a buyer would actually accept. A typical task might present a model's cold email to a materials engineering lead and ask you to rewrite it, then explain in writing why the original failed — too much spec-dumping, a fabricated compliance claim, a benefit that only lands with procurement rather than engineering.

Much of the value is in the written rationale, not the rewrite. Reviewers want to see you name the specific failure: the model conflated tensile strength with application suitability, or answered a price objection with a discount instead of a total-cost-of-ownership argument. Vague notes like "unconvincing tone" get sent back.

What the screen is looking for

micro1 runs an AI-conducted interview before any project placement. It probes for verifiable sales history in technical or scientific materials — what you sold, to which buyer personas, at what deal sizes and cycle lengths — and then follows up on the specifics. Generic SaaS or consumer sales experience tends to surface quickly under follow-up, because the questions push into material properties, specification-driven buying, and the engineer-versus-procurement split. It also tests whether you can articulate why a pitch works, since instructable judgment is the whole product.

Logistics

  • Fully remote contractor engagement, no location requirement beyond overlapping enough with project managers for occasional calibration calls
  • Asynchronous task queues; most contributors work in blocks of a few hours rather than fixed shifts
  • Volume fluctuates with customer demand — treat it as supplemental rather than a replacement for a full-time role
  • Rates are set per project and per seniority; the $45–85/hr band reflects observed postings, not a guarantee
  • Familiarity with CRM tooling and digital prospecting stacks helps when tasks involve workflow-grounded scenarios